Pull request #4530 updated Connecting to https://api.github.com using dgl-bot-personal-access-key220906 Connecting to https://api.github.com to check permissions of obtain list of chang-l for dmlc/dgl Obtained Jenkinsfile from d1454581cf839e44e7505d44e6a0368974a6fcf6+83ada2964d12d65d196305f074e85cf8b95823a1 (674b1088c045a44a41954e6ce1911b04b891a809) [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4530 [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-list --no-walk 80e5193ff9267c298263549314bef32394a73a7f # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Authentication) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 57499203bfbf2d2064693ea858cc9fb0d69a2a0ea9886a84d0a560056b8b0b80 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 57499203bfbf2d2064693ea858cc9fb0d69a2a0ea9886a84d0a560056b8b0b80 $ docker rm -f 57499203bfbf2d2064693ea858cc9fb0d69a2a0ea9886a84d0a560056b8b0b80 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (AuthenticationComment) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top f8d55c3afa200f53540394d722028f0689a2cdd36d94e8ce1450c8a11a1d6c94 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 f8d55c3afa200f53540394d722028f0689a2cdd36d94e8ce1450c8a11a1d6c94 $ docker rm -f f8d55c3afa200f53540394d722028f0689a2cdd36d94e8ce1450c8a11a1d6c94 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node Stage "AuthenticationComment" skipped due to when conditional [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Regression Test) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top e4e3cab2ad8fcbcdc8517011bd602c3b410b3b6b7b048a476dfab4450d146ce1 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 e4e3cab2ad8fcbcdc8517011bd602c3b410b3b6b7b048a476dfab4450d146ce1 $ docker rm -f e4e3cab2ad8fcbcdc8517011bd602c3b410b3b6b7b048a476dfab4450d146ce1 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node Stage "Regression Test" skipped due to when conditional [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (CI) [Pipeline] stage [Pipeline] { (Lint Check) [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 8fc3b14218d73aa627d20883d4ad9c8a0c1313a5910a457b063f01181a9b2ae1 -eo pid,comm [Pipeline] { [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@3bb7b933; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/task_lint.sh Checking code style of C++ codes... =====113/113 cpp-header files passed check===== =====175/175 cpp-source files passed check===== All passed! Checking code style of python codes... Report ====== 19518 statements analysed. Statistics by type ------------------ +---------+-------+-----------+-----------+------------+---------+ |type |number |old number |difference |%documented |%badname | +=========+=======+===========+===========+============+=========+ |module |236 |NC |NC |100.00 |0.00 | +---------+-------+-----------+-----------+------------+---------+ |class |345 |NC |NC |99.71 |1.16 | +---------+-------+-----------+-----------+------------+---------+ |method |1532 |NC |NC |99.61 |0.33 | +---------+-------+-----------+-----------+------------+---------+ |function |695 |NC |NC |100.00 |1.01 | +---------+-------+-----------+-----------+------------+---------+ External dependencies --------------------- :: dgl (dgl.distgnn.tools.tools) \-_api_internal (dgl._ffi.object) \-_dataloading | \-dataloader (dgl._dataloading.pytorch.dataloader) \-_deprecate | \-graph (dgl.transforms.functional) | \-nodeflow (dgl.network) | \-runtime | \-ir (dgl.function.message) | \-var (dgl.function.message) \-_ffi | \-_ctypes | | \-function (dgl._ffi.function) | | \-ndarray (dgl._ffi.ndarray) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.object) | \-base (dgl._ffi.ndarray) | \-function (dgl.transforms.functional) | \-libinfo (dgl._ffi.base) | \-ndarray (dgl.distributed.shared_mem_utils) | \-object (dgl.distributed.rpc) | \-object_generic (dgl._ffi._ctypes.object) | \-runtime_ctypes (dgl._ffi.ndarray) | \-streams (dgl.heterograph_index) \-backend (dgl.transforms.functional) | \-pytorch (dgl.nn.pytorch.sparse_emb) \-base (dgl.transforms.functional) \-batch (dgl.transforms.functional) \-convert (dgl.transforms.functional) \-core (dgl.heterograph) \-data | \-utils (dgl.distgnn.tools.tools) \-dataloading | \-base (dgl.dataloading.dataloader) \-distributed (dgl._dataloading.pytorch.dataloader) | \-constants (dgl.distributed.dist_context) | \-dist_context (dgl.distributed.dist_tensor) | \-dist_graph (dgl.distributed.dist_context) | \-dist_tensor (dgl.distributed.optim.pytorch.sparse_optim) | \-id_map (dgl.distributed.graph_partition_book) | \-kvstore (dgl.distributed.dist_tensor) | \-nn | | \-pytorch (dgl.distributed.optim.pytorch.sparse_optim) | \-optim | | \-pytorch | | \-utils (dgl.distributed.optim.pytorch.sparse_optim) | \-role (dgl.distributed.dist_tensor) | \-rpc (dgl.distributed.dist_tensor) | \-rpc_client (dgl.distributed.dist_context) | \-shared_mem_utils (dgl.distributed.dist_graph) | \-standalone_kvstore (dgl.distributed.kvstore) \-frame (dgl.transforms.functional) \-function (dgl.transforms.functional) | \-base (dgl.function.message) \-geometry | \-capi (dgl.geometry.fps) \-graph_index (dgl.heterograph) \-heterograph (dgl.transforms.functional) \-heterograph_index (dgl.transforms.functional) \-init (dgl.frame) \-mock_sparse | \-diag_matrix (dgl.mock_sparse.elementwise_op_sp) | \-sp_matrix (dgl.mock_sparse.elementwise_op_sp) \-multiprocessing (dgl.dataloading.dataloader) \-ndarray (dgl.transforms.functional) \-nn | \-functional (dgl.nn.tensorflow.conv.gatconv) | \-mxnet | | \-utils (dgl.nn.mxnet.conv.relgraphconv) | \-pytorch (dgl.optim.pytorch.sparse_optim) | | \-conv | | | \-graphconv (dgl.nn.pytorch.conv.sgconv) | | \-linear (dgl.nn.pytorch.conv.hgtconv) | | \-softmax (dgl.nn.pytorch.conv.hgtconv) | | \-utils (dgl.nn.pytorch.conv.gatconv) | \-tensorflow | \-utils (dgl.nn.tensorflow.conv.gatconv) \-ops (dgl.nn.pytorch.linear) \-partition (dgl.transforms.functional) \-random (dgl.distributed.partition) \-readout (dgl.nn.tensorflow.glob) \-sampling (dgl.distributed.graph_services) | \-neighbor (dgl.transforms.functional) | \-randomwalks (dgl.sampling.pinsage) | \-utils (dgl.sampling.neighbor) \-sparse (dgl.distgnn.partition.libra_partition) \-storages (dgl.dataloading.dataloader) | \-base (dgl.storages.numpy) \-subgraph (dgl.transforms.functional) \-transforms (dgl.distributed.dist_graph) | \-functional (dgl.transforms.module) \-traversal (dgl.propagate) \-udf (dgl.core) \-utils (dgl.transforms.functional) | \-checks (dgl.utils.data) \-view (dgl.heterograph) Raw metrics ----------- +----------+-------+------+---------+-----------+ |type |number |% |previous |difference | +==========+=======+======+=========+===========+ |code |25916 |36.33 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |38117 |53.44 |NC |NC | +----------+-------+------+---------+-----------+ |comment |2006 |2.81 |NC |NC | +----------+-------+------+---------+-----------+ |empty |5294 |7.42 |NC |NC | +----------+-------+------+---------+-----------+ Duplication ----------- +-------------------------+------+---------+-----------+ | |now |previous |difference | +=========================+======+=========+===========+ |nb duplicated lines |0 |NC |NC | +-------------------------+------+---------+-----------+ |percent duplicated lines |0.000 |NC |NC | +-------------------------+------+---------+-----------+ Messages by category -------------------- +-----------+-------+---------+-----------+ |type |number |previous |difference | +===========+=======+=========+===========+ |convention |0 |NC |NC | +-----------+-------+---------+-----------+ |refactor |0 |NC |NC | +-----------+-------+---------+-----------+ |warning |0 |NC |NC | +-----------+-------+---------+-----------+ |error |0 |NC |NC | +-----------+-------+---------+-----------+ ------------------------------------ Your code has been rated at 10.00/10 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 8fc3b14218d73aa627d20883d4ad9c8a0c1313a5910a457b063f01181a9b2ae1 $ docker rm -f 8fc3b14218d73aa627d20883d4ad9c8a0c1313a5910a457b063f01181a9b2ae1 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Build) [Pipeline] parallel [Pipeline] { (Branch: CPU Build) [Pipeline] { (Branch: GPU Build) [Pipeline] { (Branch: PyTorch Cugraph GPU Build) [Pipeline] { (Branch: CPU Build (Win64)) [Pipeline] stage [Pipeline] { (CPU Build) [Pipeline] stage [Pipeline] { (GPU Build) [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Build) [Pipeline] stage [Pipeline] { (CPU Build (Win64)) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4530 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530 Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@2 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@3 [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git [Pipeline] checkout using credential 150de63f-189c-4717-bcaf-010460d2f51a The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout using credential 150de63f-189c-4717-bcaf-010460d2f51a The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@3 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Cleaning workspace Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] withEnv [Pipeline] { > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] { [Pipeline] sh Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace + docker pull dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] withEnv [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] sh Fetching changes from the remote Git repository Cleaning workspace Fetching without tags 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:72e8cb2632449beac4895f24b55018dea21f79da47fe39be05ef83a4fd3ddb67 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] } > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 . [Pipeline] } Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4530@3 -v /root/jenkins/workspace/dgl_PR-4530@3:/root/jenkins/workspace/dgl_PR-4530@3:rw,z -v /root/jenkins/workspace/dgl_PR-4530@3@tmp:/root/jenkins/workspace/dgl_PR-4530@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 cat > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4530\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 $ docker top 802cac3a4e24a860b6f39f04b3bdd3f17975ae00c824a519555f97de77eca3b6 -eo pid,comm [Pipeline] { [Pipeline] bat [Pipeline] } [Pipeline] } [Pipeline] // withEnv [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4530@2 -v /root/jenkins/workspace/dgl_PR-4530@2:/root/jenkins/workspace/dgl_PR-4530@2:rw,z -v /root/jenkins/workspace/dgl_PR-4530@2@tmp:/root/jenkins/workspace/dgl_PR-4530@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/METIS'... $ docker top 198a94d0716c1f6cdb9e26cb2ebc3b5383acb6103a3824866e2e67fcc64c6ea3 -eo pid,comm [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] // withEnv + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top 2733688de6ae6fa038f42ee9f95e324b29c6fc464b0e1f8b3bdce77f38b88728 -eo pid,comm [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@48f5ddaa; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) The recommended git tool is: git Fetching changes from the remote Git repository using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@52592504; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Cleaning workspace [Pipeline] sh Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4da93a2e; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Fetching without tags > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@3/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@2/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh [Pipeline] sh [Pipeline] sh + git submodule update --recursive --init > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + git submodule update --recursive --init + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/thrust'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/xbyak'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] bat Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530>CALL tests\scripts\build_dgl.bat ********************************************************************** ** Visual Studio 2019 Developer Command Prompt v16.5.5 ** Copyright (c) 2019 Microsoft Corporation ********************************************************************** Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libnop'... [vcvarsall.bat] Environment initialized for: 'x64' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libuv'... created virtual environment CPython3.6.7.final.0-64 in 316ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4530-15, clear=False, global=True) seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=C:\Users\Administrator\AppData\Local\pypa\virtualenv) added seed packages: pip==21.3.1, setuptools==59.6.0, wheel==0.37.1 activators BashActivator,BatchActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator Deleted file - C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4530\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' -- The C compiler identification is MSVC 19.25.28614.0 Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/libnop'... -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' -- Found OpenMP_C: -openmp (found version "2.0") Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... -- Found OpenMP_CXX: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Build with OpenMP. -- Build with LIBXSMM optimization. Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dlpack'... -- Looking for clock_gettime in rt Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... -- Looking for clock_gettime in rt - not found -- Looking for fopen64 Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/thrust/dependencies/cub'... -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - not found -- Looking for nanosleep Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' -- Looking for nanosleep - not found -- Looking for backtrace Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... -- Looking for sys/types.h - found -- Looking for stdint.h Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/dmlc-core'... -- Looking for stdint.h - found -- Looking for stddef.h Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/rang'... -- Looking for stddef.h - found -- Check size of unsigned short Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4530/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4530-15/Scripts/python.exe (found version "3.6.7") -- Build with unittest CMake Deprecation Warning at third_party/googletest/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googlemock/CMakeLists.txt:45 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googletest/CMakeLists.txt:56 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Looking for pthread.h + bash tests/scripts/build_dgl.sh gpu + bash tests/scripts/build_dgl.sh cugraph ~/jenkins/workspace/dgl_PR-4530@2/build ~/jenkins/workspace/dgl_PR-4530@2 -- The C compiler identification is GNU 7.5.0 ~/jenkins/workspace/dgl_PR-4530@3/build ~/jenkins/workspace/dgl_PR-4530@3 -- The C compiler identification is GNU 7.5.0 Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- The CXX compiler identification is GNU 7.5.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4530/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 10/18/2022 6:07:05 AM. -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" on node 1 (default targets). 1>ValidateSolutionConfiguration: Building solution configuration "Release|x64". ValidateProjects: The project "INSTALL" is not selected for building in solution configuration "Release|x64". The project "RUN_TESTS" is not selected for building in solution configuration "Release|x64". The project "dmlc_lint" is not selected for building in solution configuration "Release|x64". -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Looking for pthread.h -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4530\build\ZERO_CHECK.vcxproj" (11) on node 2 (default targets). 11>PrepareForBuild: Creating directory "x64\Release\ZERO_CHECK\". Creating directory "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\". InitializeBuildStatus: Creating "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Checking Build System FinalizeBuildStatus: Deleting file "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". Touching "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". 11>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\ZERO_CHECK.vcxproj" (default targets). -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.5") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/opt/conda/lib/libcublas.so -- Found CUDA_CURAND_LIBRARY=/opt/conda/lib/libcurand.so -- Performing Test SUPPORT_CXX14 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj" (12) on node 2 (default targets). 12>PrepareForBuild: Creating directory "x64\Release\tensoradapter_pytorch\". Creating directory "x64\Release\tensoradapter_pytorch\tensorad.A5275462.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.A5275462.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4530-15) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest.vcxproj" (13) on node 3 (default targets). 13>PrepareForBuild: Creating directory "gtest.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "10.1") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/usr/lib/x86_64-linux-gnu/libcublas.so -- Found CUDA_CURAND_LIBRARY=/usr/local/cuda/lib64/libcurand.so -- Performing Test SUPPORT_CXX14 Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock_main.vcxproj" (14) on node 4 (default targets). 14>PrepareForBuild: Creating directory "gmock_main.dir\Release\". Creating directory "gmock_main.dir\Release\gmock_main.tlog\". InitializeBuildStatus: Creating "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest/googletest/CMakeLists.txt 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock.vcxproj" (15) on node 5 (default targets). 15>PrepareForBuild: Creating directory "gmock.dir\Release\". Creating directory "gmock.dir\Release\gmock.tlog\". InitializeBuildStatus: Creating "gmock.dir\Release\gmock.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\bin\Release". 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj" (16) on node 6 (default targets). 16>PrepareForBuild: Creating directory "dmlc.dir\Release\". 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest/googlemock/CMakeLists.txt 16>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\Release\". Creating directory "dmlc.dir\Release\dmlc.tlog\". InitializeBuildStatus: Creating "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gtest.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4530\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\src\gtest-all.cc" 15>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest/googlemock/CMakeLists.txt 13>ClCompile: gtest-all.cc 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/third_party/dmlc-core/CMakeLists.txt 14>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gmock_main.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4530\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock\src\gmock_main.cc" 15>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gmock.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4530\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googlemock\src\gmock-all.cc" 14>ClCompile: gtest-all.cc gmock-all.cc gmock_main.cc 15>ClCompile: gtest-all.cc 16>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D DMLC_USE_HDFS=0 /D DMLC_USE_S3=0 /D DMLC_USE_AZURE=0 /D _XOPEN_SOURCE=700 /D _POSIX_SOURCE /D _POSIX_C_SOURCE=200809L /D _DARWIN_C_SOURCE /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"dmlc.dir\Release\\" /Fd"dmlc.dir\Release\dmlc.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\local_filesys.cc" 15>ClCompile: gmock-all.cc -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh 16>ClCompile: config.cc data.cc io.cc recordio.cc line_split.cc recordio_split.cc indexed_recordio_split.cc input_split_base.cc filesys.cc local_filesys.cc -- Found OpenMP_C: -fopenmp (found version "4.5") + bash tests/scripts/build_dgl.sh cpu -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h ~/jenkins/workspace/dgl_PR-4530/build ~/jenkins/workspace/dgl_PR-4530 -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Looking for sys/epoll.h - found -- Build with fp16 to support mixed precision training -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 -- Looking for sys/epoll.h - found -- Build with fp16 to support mixed precision training -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Performing Test SUPPORT_CXX14 -- Performing Test SUPPORT_CXX14 - Success -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h CMake Warning at cmake/modules/CUDA.cmake:71 (message): Running GPU detection script with nvcc failed: Call Stack (most recent call first): cmake/modules/CUDA.cmake:132 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:266 (dgl_select_nvcc_arch_flags) CMakeLists.txt:178 (dgl_config_cuda) CMake Warning at cmake/modules/CUDA.cmake:76 (message): Automatic GPU detection failed. Building for all known architectures (35 50 60 70 80). Call Stack (most recent call first): cmake/modules/CUDA.cmake:132 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:266 (dgl_select_nvcc_arch_flags) CMakeLists.txt:178 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DUSE_FP16,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_80,code=sm_80;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 CMake Warning at cmake/modules/CUDA.cmake:71 (message): Running GPU detection script with nvcc failed: Call Stack (most recent call first): cmake/modules/CUDA.cmake:132 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:266 (dgl_select_nvcc_arch_flags) CMakeLists.txt:178 (dgl_config_cuda) CMake Warning at cmake/modules/CUDA.cmake:76 (message): Automatic GPU detection failed. Building for all known architectures (35 50 60 70). Call Stack (most recent call first): cmake/modules/CUDA.cmake:132 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:266 (dgl_select_nvcc_arch_flags) CMakeLists.txt:178 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DUSE_FP16,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for sys/epoll.h - found -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for nanosleep - found -- Looking for backtrace -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- /root/jenkins/workspace/dgl_PR-4530@3/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short -- Looking for execinfo.h - found -- Looking for getline -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Using unsigned short -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4530@2/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: C:/Program Files/Python36/python.exe -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- find_cmake.py output: C:\Program Files\Python36\lib\site-packages\torch\share\cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to C:\Program Files\Python36\lib\site-packages\torch\share\cmake/Torch -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Looking for pthread.h -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Looking for pthread.h - not found -- Found Threads: TRUE -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Found Torch: C:/Program Files/Python36/Lib/site-packages/torch/lib/torch.lib -- tensoradapter found PyTorch includes: C:/Program Files/Python36/Lib/site-packages/torch/include;C:/Program Files/Python36/Lib/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done 12>CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4530/tensoradapter/pytorch/build Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 10/18/2022 6:07:11 AM. -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest CMake Deprecation Warning at third_party/googletest/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googlemock/CMakeLists.txt:45 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googletest/CMakeLists.txt:56 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Found PythonInterp: /opt/conda/bin/python (found version "3.9.13") -- Building dist/rpc tests -- Configuring done -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Found PythonInterp: /usr/bin/python3.6 (found version "3.6.9") -- Building dist/rpc tests -- Configuring done 1>Project "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" on node 1 (default targets). 1>ValidateSolutionConfiguration: Building solution configuration "Release|x64". ValidateProjects: The project "ALL_BUILD" is not selected for building in solution configuration "Release|x64". 1>Project "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (2) on node 1 (default targets). 2>PrepareForBuild: Creating directory "x64\Release\ZERO_CHECK\". Creating directory "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\". InitializeBuildStatus: Creating "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. -- Found PythonInterp: /usr/bin/python3.6 (found version "3.6.9") -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD CMake Warning at /opt/conda/share/cmake-3.24/Modules/FindCUDA.cmake:1985 (add_library): Cannot generate a safe runtime search path for target dgl because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. Call Stack (most recent call first): CMakeLists.txt:195 (cuda_add_library) CMake Warning at /opt/conda/share/cmake-3.24/Modules/FindCUDA.cmake:1985 (add_library): Cannot generate a safe runtime search path for target dgl because there is a cycle in the constraint graph: dir 0 is [/usr/local/cuda/lib64] dir 1 must precede it due to runtime library [libcurand.so.10] dir 1 is [/opt/conda/lib] dir 0 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. Call Stack (most recent call first): CMakeLists.txt:195 (cuda_add_library) CMake Warning at CMakeLists.txt:342 (add_executable): Cannot generate a safe runtime search path for target runUnitTests because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:342 (add_executable): Cannot generate a safe runtime search path for target runUnitTests because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4530@3/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:350 (add_executable): Cannot generate a safe runtime search path for target rpc_client because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:350 (add_executable): Cannot generate a safe runtime search path for target rpc_client because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4530@3/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:353 (add_executable): Cannot generate a safe runtime search path for target rpc_server because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:353 (add_executable): Cannot generate a safe runtime search path for target rpc_server because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4530@3/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4530@3/build [ 0%] Creating directories for 'nccl_external' [ 0%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 0%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 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third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/tokenizer.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/seq.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4530@2/build Scanning dependencies of target libxsmm Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target nccl_external [ 0%] Creating directories for 'nccl_external' Scanning dependencies of target dmlc Scanning dependencies of target gtest [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 2%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 2%] No download step for 'nccl_external' Scanning dependencies of target tensorpipe_uv CustomBuild: Checking Build System FinalizeBuildStatus: Deleting file "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". Touching "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (4) on node 1 (default targets). 4>PrepareForBuild: Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.1155FBAF.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.1155FBAF.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/tensoradapter/pytorch/CMakeLists.txt ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\..\..\third_party\dlpack\include" /I"C:\Program Files\Python36\Lib\site-packages\torch\include" /I"C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include" /nologo /W3 /WX- /diagnostics:column /O2 /Ob2 /D WIN32 /D _WINDOWS /D NDEBUG /D NOMINMAX /D "CMAKE_INTDIR=\"Release\"" /D tensoradapter_pytorch_1_9_0_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /GR /std:c++14 /Fo"tensoradapter_pytorch_1.9.0.dir\Release\\" /Fd"tensoradapter_pytorch_1.9.0.dir\Release\vc142.pdb" /Gd /TP /wd4267 /wd4251 /wd4522 /wd4838 /wd4305 /wd4244 /wd4190 /wd4101 /wd4996 /wd4275 /errorReport:queue /bigobj "C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\pytorch\torch.cpp" torch.cpp -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Building dist/rpc tests -- Configuring done [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/balance.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 21%] No download step for 'nccl_external' [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 22%] Building C object 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(default targets). 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). -- The C compiler identification 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/root/jenkins/workspace/dgl_PR-4530@2/build/nccl/include/nccl_net.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/transport.o -- Detecting C compiler ABI info - done Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/group.o -- Detecting C compile features -- Detecting C compile features - done Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/debug.o -- Check for working CXX compiler: /usr/bin/c++ Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/misc/gdrwrap.o 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (17) on node 3 (default targets). 17>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\Release\". Creating directory "dgl.dir\Release\dgl.tlog\". InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.dir\Release\src\graph\transform\cpu". 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"C:\Jenkins\workspace\dgl_PR-4530\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\tcp_socket.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project 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Creating directory "gtest_main.dir\Release\gtest_main.tlog\". InitializeBuildStatus: Creating "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest/googletest/CMakeLists.txt 17>ClCompile: array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc filter.cc 18>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gtest_main.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4530\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\src\gtest_main.cc" -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/group.o [ 32%] Built target tensorpipe_uv Compiling 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Touching "gtest_main.dir\Release\gtest_main.tlog\gtest_main.lastbuildstate". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). 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third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/sendrecv.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/broadcast.o In file included from include/core.h:57:0, from include/transport.h:13, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: enqueue.cc: In function 'ncclResult_t ncclLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, int*, int, int)': enqueue.cc:135:97: warning: 'cudaError_t cudaLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, unsigned int, unsigned int)' is deprecated [-Wdeprecated-declarations] cudaCooperativeLaunchMultiDeviceNoPreSync|cudaCooperativeLaunchMultiDeviceNoPostSync)); ^ include/checks.h:14:23: note: in definition of macro 'CUDACHECK' cudaError_t err = cmd; \ ^~~ In file included from /usr/local/cuda/include/channel_descriptor.h:61:0, from /usr/local/cuda/include/cuda_runtime.h:95, from /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/include/nccl.h:10, from include/devcomm.h:10, from include/transport.h:10, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: /usr/local/cuda/include/cuda_runtime_api.h:4198:57: note: declared here extern __CUDA_DEPRECATED __host__ cudaError_t CUDARTAPI cudaLaunchCooperativeKernelMultiDevice(struct cudaLaunchParams *launchParamsList, unsigned int numDevices, unsigned int flags __dv(0)); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/paths.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/connect.o Generating rules > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/Makefile.rules 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] kernel.cc libra_partition.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_op_impl.cc) uvm_array.cc C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] bcast.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/tuning.o c_api_common.cc geometry_op_impl.cc geometry.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_topk.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] ndarray_partition.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] choice.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * [ 46%] Linking C static library libmetis.a Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/graph/xml.o [ 46%] Built target metis [ 50%] Linking C static library libmetis.a ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] random.cc c_object_api.cc c_runtime_api.cc config.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_sampling.cc) cpu_device_api.cc C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] [ 50%] Built target metis dlpack_convert.cc dso_module.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] file_util.cc Generating rules > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/Makefile.rules -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h module.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc(62): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc(89): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::COORemoveShuffled(dgl::aten::COOMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc(101): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COORemove(dgl::aten::COOMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] module_util.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] ndarray.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc(63): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc(94): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::CSRRemoveShuffled(dgl::aten::CSRMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc(106): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRRemove(dgl::aten::CSRMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD [ 45%] Linking C static library libmetis.a [ 45%] Built target metis 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc(298): message : see reference to function template instantiation 'void std::fill(const _FwdIt,const _FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc(306): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::CSRToCOO(dgl::aten::CSRMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] object.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc(477): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc(525): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRSliceMatrix(dgl::aten::CSRMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] registry.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(684): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(706): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COOSliceRows(dgl::aten::COOMatrix,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(383): message : see reference to function template instantiation 'void std::iota(_FwdIt,_FwdIt,_Ty)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(632): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::`anonymous-namespace'::SortedCOOToCSR(const dgl::aten::COOMatrix &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(635): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair,IdType>::pair<_Ty,__int64,0>(_Other1 &&,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair,IdType>::pair<_Ty,__int64,0>(_Other1 &&,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\list(587): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair,__int64>(_Alloc &,_Objty *const ,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Alloc=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>>, _Ty=std::pair,int32_t>, IdType=int32_t, _Objty=std::pair,int32_t> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\list(587): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair,__int64>(_Alloc &,_Objty *const ,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Alloc=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>>, _Ty=std::pair,int32_t>, IdType=int32_t, _Objty=std::pair,int32_t> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xhash(599): message : see reference to function template instantiation 'std::_List_node_emplace_op2::void_pointer>>>::_List_node_emplace_op2,__int64>(_Alnode &,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Alloc=std::allocator,int32_t>>, IdType=int32_t, _Alnode=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xhash(599): message : see reference to function template instantiation 'std::_List_node_emplace_op2::void_pointer>>>::_List_node_emplace_op2,__int64>(_Alnode &,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Alloc=std::allocator,int32_t>>, IdType=int32_t, _Alnode=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(256): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Kty=std::pair, _Hasher=dgl::aten::PairHash, _Keyeq=std::equal_to>, _Alloc=std::allocator,int32_t>>, IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(256): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Kty=std::pair, _Hasher=dgl::aten::PairHash, _Keyeq=std::equal_to>, _Alloc=std::allocator,int32_t>>, IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc(290): message : see reference to function template instantiation 'std::vector> dgl::aten::impl::COOGetDataAndIndices(dgl::aten::COOMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). -- Looking for pthread_create in pthread - found -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4530/tensoradapter/pytorch/build Scanning dependencies of target tensoradapter_pytorch_1.9.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads resource_manager.cc semaphore_wrapper.cc shared_mem.cc -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread system_lib_module.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "10.1") -- Caffe2: CUDA detected: 10.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda tensordispatch.cc [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so thread_pool.cc threading_backend.cc utils.cc workspace_pool.cc 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] -- Caffe2: Header version is: 10.1 -- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so -- Found cuDNN: v7.6.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:203 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4530/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 50%] Built target tensoradapter_pytorch api_container.cc api_test.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\geometry.cc) creators.cc C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4530@2/tensoradapter/pytorch/build Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Scanning dependencies of target tensoradapter_pytorch_1.9.0 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(317): message : see reference to function template instantiation 'void dgl::aten::LibraVertexCut(int32_t,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,int64_t,int64_t,const std::string &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(284,10): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'unsigned __int64' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(284,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(287,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(287,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(287,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(287,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(291,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(291,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(291,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(291,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(296,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(296,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(296,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(296,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] gk_ops.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o graph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\sample_utils.h(267): message : see reference to function template instantiation 'void std::fill>>,int>(const _FwdIt,const _FwdIt,const int &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=ValueType, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\sample_utils.h(264): message : while compiling class template member function 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\sample_utils.h(281): message : see reference to function template instantiation 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc(42): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc(51): message : see reference to function template instantiation 'void dgl::RandomEngine::Choice(int64_t,dgl::FloatArray,int64_t *,bool)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] graph_apis.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o graph_op.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] graph_traversal.cc heterograph.cc heterograph_capi.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o immutable_graph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] metis_partition.cc network.cc nodeflow.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(75): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(77): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(76): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(78): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] pickle.cc sampler.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o global_uniform.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so neighbor.cc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o [ 48%] Linking CXX static library ../../../lib/libgtest.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o [ 48%] Built target gtest nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o get_node_types_cpu.cc node2vec.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4530@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o [ 45%] Built target tensoradapter_pytorch Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@2733688de6ae) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log [ 50%] Linking CXX static library ../../../lib/libgtest.a [ 50%] Built target gtest Scanning dependencies of target gtest_main Scanning dependencies of target gmock [ 51%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o [ 51%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). node2vec_cpu.cc randomwalk_cpu.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o /usr/bin/ar: creating lib/libxsmmnoblas.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_u64.o [ 49%] Linking CXX static library ../../../lib/libgtest_main.a randomwalk_with_restart_cpu.cc randomwalks.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 49%] Built target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). dglgraph_serialize.cc graph_serialize.cc heterograph_serialize.cc tensor_serialize.cc [ 46%] Linking CXX static library ../../../lib/libgtest.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_f32.o [ 46%] Built target gtest Scanning dependencies of target gmock Scanning dependencies of target gtest_main Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 53%] Linking CXX static library ../../../lib/libgtest_main.a [ 53%] Built target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl/aten/coo.h(235): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] zerocopy_serializer.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o shared_mem_manager.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] subgraph.cc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o compact.cc line_graph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] metis_partition_hetero.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_u32.o partition_hetero.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] remove_edges.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] to_bipartite.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_i64.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@802cac3a4e24) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc(511): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc(414): message : see reference to function template instantiation 'dgl::FlattenedHeteroGraphPtr dgl::HeteroGraph::FlattenImpl(const std::vector> &) const' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] to_simple.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] unit_graph.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 49%] Linking CXX static library libtensorpipe.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). scheduler.cc 17>C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1693): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1925): message : see reference to function template instantiation 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1842): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] scheduler_apis.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_i8.o common.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_i8.o [ 48%] Linking CXX static library ../../../lib/libgtest_main.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_u8.o [ 49%] Built target tensorpipe nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_u32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_i32.o [ 48%] Built target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_i64.o [ 49%] Linking CXX static library ../../../lib/libgmock.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_u64.o msg_queue.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 49%] Built target gmock Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_f32.o [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc(400): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(239): message : while compiling class template member function 'bool std::less::operator ()(_Ty1,_Ty2) noexcept() const' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t, IdxType=int64_t, _Ty1=const dgl::dgl_id_t &, _Ty2=const int64_t & ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\algorithm(2951): message : see reference to function template instantiation 'bool std::binary_search<_FwdIt,_Ty,std::less>(_FwdIt,_FwdIt,const _Ty &,_Pr)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_randomwalk.h(45): message : see reference to function template instantiation 'bool std::binary_search(_FwdIt,_FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_randomwalk.h(109): message : see reference to function template instantiation 'bool dgl::sampling::impl::`anonymous-namespace'::has_edge_between(const dgl::aten::CSRMatrix &,dgl::dgl_id_t,dgl::dgl_id_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_randomwalk.h(163): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::`anonymous-namespace'::Node2vecRandomWalkStep(IdxType *,dgl::dgl_id_t,dgl::dgl_id_t,const double,const double,int64_t,const dgl::aten::CSRMatrix &,bool,const dgl::FloatArray &,std::function)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc(31): message : see reference to function template instantiation 'std::pair dgl::sampling::impl::`anonymous-namespace'::Node2vecRandomWalk(const dgl::HeteroGraphPtr,const dgl::IdArray,const double,const double,const int64_t,const dgl::FloatArray &,std::function)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc(45): message : see reference to function template instantiation 'std::pair dgl::sampling::impl::Node2vec(const dgl::HeteroGraphPtr,const dgl::IdArray,const double,const double,const int64_t,const dgl::FloatArray &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\algorithm(2945): message : see reference to function template instantiation 'bool std::less::operator ()(_Ty1,_Ty2) noexcept const' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t, IdxType=int64_t, _Ty1=const dgl::dgl_id_t &, _Ty2=const int64_t & ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) socket_communicator.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_max_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] socket_pool.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair::pair<__int64,int,0>(std::pair<__int64,int> &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair::pair<__int64,int,0>(std::pair<__int64,int> &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(687): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair<__int64,int>>(_Alloc &,_Objty *const ,std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(687): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair<__int64,int>>(_Alloc &,_Objty *const ,std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(705): message : see reference to function template instantiation 'void std::vector,std::allocator>>::_Emplace_back_with_unused_capacity<_Ty>(_Ty &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc(61): message : see reference to function template instantiation 'void std::vector,std::allocator>>::emplace_back>(std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc(127): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::SelectPinSageNeighbors(const dgl::IdArray,const dgl::IdArray,const int64_t,const int64_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_f32.o [ 53%] Linking CXX static library ../../../lib/libgmock.a [ 53%] Built target gmock Scanning dependencies of target gmock_main [ 53%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o /usr/bin/ar: creating lib/libxsmmgen.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). tcp_socket.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(803): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 53%] Linking CXX static library libtensorpipe.a [ 53%] Built target tensorpipe Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 54%] Linking CXX static library ../../../lib/libgmock_main.a [ 54%] Built target gmock_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl/aten/coo.h(235): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o [ 54%] Linking CXX static library libdmlc.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o 17>C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o [ 54%] Built target dmlc /usr/bin/ar: creating lib/libxsmmnoblas.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_u8.o [ 49%] Linking CXX static library libdmlc.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o ================================================================================ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 49%] Linking CXX static library ../../../lib/libgmock_main.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_u32.o [ 49%] Built target dmlc [ 49%] Built target gmock_main Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_i8.o LIBXSMM master-1.16.1-1534 (Linux@198a94d0716c) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_u8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_min_f64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc(63): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc(63): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc(146): message : see reference to function template instantiation 'std::pair>,std::vector>> dgl::transform::`anonymous-namespace'::CompactGraphsCPU(const std::vector> &,const std::vector> &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_u32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc(80): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc(74): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_f32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc(106): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\../../array/cpu/array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc(80): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc(80): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc(150): message : see reference to function template instantiation 'std::tuple>> dgl::transform::`anonymous-namespace'::ToBlockCPU(dgl::HeteroGraphPtr,const std::vector> &,bool,std::vector> *const )' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_prod_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o [ 48%] Linking CXX static library libtensorpipe.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o [ 48%] Linking CXX static library ../../../lib/libgmock.a [ 48%] Built target tensorpipe Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Built target gmock Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Scanning dependencies of target gmock_main [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_u8.o /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@2733688de6ae) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 54%] Built target libxsmm Scanning dependencies of target dgl Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_i64.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 62%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_max_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Linking CXX static library libdmlc.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o [ 48%] Built target dmlc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4530/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4530/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4530/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4530/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4530/include/dgl/runtime/packed_func.h:502:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o [ 48%] Linking CXX static library ../../../lib/libgmock_main.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o [ 48%] Built target gmock_main Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o In file included from /root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4530/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4530/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4530/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4530/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4530/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4530/src/graph/sampler.cc:1189:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530/src/graph/sampler.cc:1193:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4530/src/array/libra_partition.cc:396:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf(fp, "%ld,%ld,%f\n", &u, &v, &w); // reading an edge - the src and dst global node IDs ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4530/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4530/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/array/cpu/traversal.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\traversal.cc" traversal.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/array/union_partition.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\array\union_partition.cc" union_partition.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/cpu/knn.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\cpu\knn.cc" knn.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/onerank_reduce.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_i8.o /usr/bin/ar: creating lib/libxsmmgen.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_f64.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/knn.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\knn.cc" knn.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/union_partition.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\union_partition.cc" union_partition.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4530\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/traversal.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\src\graph\traversal.cc" traversal.cc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] /usr/bin/ar: creating lib/libxsmmgen.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o 17>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4530\build if %errorlevel% neq 0 goto :cmEnd C: if %errorlevel% neq 0 goto :cmEnd "C:\Program Files\CMake\bin\cmake.exe" -E __create_def C:/Jenkins/workspace/dgl_PR-4530/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4530/build/dgl.dir/Release//objects.txt if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Link: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\link.exe /ERRORREPORT:QUEUE /OUT:"C:\Jenkins\workspace\dgl_PR-4530\build\Release\dgl.dll" /INCREMENTAL:NO /NOLOGO "third_party\dmlc-core\Release\dmlc.lib" kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /DEF:"C:/Jenkins/workspace/dgl_PR-4530/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4530/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4530/build/Release/dgl.lib" /MACHINE:X64 /machine:x64 /DLL dgl.dir\Release\array.obj dgl.dir\Release\array_arith.obj dgl.dir\Release\array_cumsum.obj dgl.dir\Release\array_index_select.obj dgl.dir\Release\array_nonzero.obj dgl.dir\Release\array_op_impl.obj dgl.dir\Release\array_pack.obj dgl.dir\Release\array_repeat.obj dgl.dir\Release\array_scatter.obj dgl.dir\Release\array_sort.obj dgl.dir\Release\coo_coalesce.obj dgl.dir\Release\coo_linegraph.obj dgl.dir\Release\coo_remove.obj dgl.dir\Release\coo_sort.obj dgl.dir\Release\csr_get_data.obj dgl.dir\Release\csr_mm.obj dgl.dir\Release\csr_remove.obj dgl.dir\Release\csr_sort.obj dgl.dir\Release\csr_sum.obj dgl.dir\Release\csr_to_simple.obj dgl.dir\Release\csr_union.obj dgl.dir\Release\disjoint_union.obj dgl.dir\Release\gather_mm.obj dgl.dir\Release\negative_sampling.obj dgl.dir\Release\rowwise_sampling.obj dgl.dir\Release\rowwise_topk.obj dgl.dir\Release\sddmm.obj dgl.dir\Release\segment_reduce.obj dgl.dir\Release\spmat_op_impl_coo.obj dgl.dir\Release\spmat_op_impl_csr.obj dgl.dir\Release\spmm.obj dgl.dir\Release\filter.obj dgl.dir\Release\kernel.obj dgl.dir\Release\libra_partition.obj dgl.dir\Release\uvm_array.obj dgl.dir\Release\bcast.obj dgl.dir\Release\c_api_common.obj dgl.dir\Release\geometry_op_impl.obj dgl.dir\Release\geometry.obj dgl.dir\Release\ndarray_partition.obj dgl.dir\Release\choice.obj dgl.dir\Release\random.obj dgl.dir\Release\c_object_api.obj dgl.dir\Release\c_runtime_api.obj dgl.dir\Release\config.obj dgl.dir\Release\cpu_device_api.obj dgl.dir\Release\dlpack_convert.obj dgl.dir\Release\dso_module.obj dgl.dir\Release\file_util.obj dgl.dir\Release\module.obj dgl.dir\Release\module_util.obj dgl.dir\Release\ndarray.obj dgl.dir\Release\object.obj dgl.dir\Release\registry.obj dgl.dir\Release\resource_manager.obj dgl.dir\Release\semaphore_wrapper.obj dgl.dir\Release\shared_mem.obj dgl.dir\Release\system_lib_module.obj dgl.dir\Release\tensordispatch.obj dgl.dir\Release\thread_pool.obj dgl.dir\Release\threading_backend.obj dgl.dir\Release\utils.obj dgl.dir\Release\workspace_pool.obj dgl.dir\Release\api_container.obj dgl.dir\Release\api_test.obj dgl.dir\Release\creators.obj dgl.dir\Release\gk_ops.obj dgl.dir\Release\graph.obj dgl.dir\Release\graph_apis.obj dgl.dir\Release\graph_op.obj dgl.dir\Release\graph_traversal.obj dgl.dir\Release\heterograph.obj dgl.dir\Release\heterograph_capi.obj dgl.dir\Release\immutable_graph.obj dgl.dir\Release\metis_partition.obj dgl.dir\Release\network.obj dgl.dir\Release\nodeflow.obj dgl.dir\Release\pickle.obj dgl.dir\Release\sampler.obj dgl.dir\Release\global_uniform.obj dgl.dir\Release\neighbor.obj dgl.dir\Release\get_node_types_cpu.obj dgl.dir\Release\node2vec.obj dgl.dir\Release\node2vec_cpu.obj dgl.dir\Release\randomwalk_cpu.obj dgl.dir\Release\randomwalk_with_restart_cpu.obj dgl.dir\Release\randomwalks.obj dgl.dir\Release\dglgraph_serialize.obj dgl.dir\Release\graph_serialize.obj dgl.dir\Release\heterograph_serialize.obj dgl.dir\Release\tensor_serialize.obj dgl.dir\Release\zerocopy_serializer.obj dgl.dir\Release\shared_mem_manager.obj dgl.dir\Release\subgraph.obj dgl.dir\Release\compact.obj dgl.dir\Release\line_graph.obj dgl.dir\Release\metis_partition_hetero.obj dgl.dir\Release\partition_hetero.obj dgl.dir\Release\remove_edges.obj dgl.dir\Release\to_bipartite.obj dgl.dir\Release\to_simple.obj dgl.dir\Release\unit_graph.obj dgl.dir\Release\scheduler.obj dgl.dir\Release\scheduler_apis.obj dgl.dir\Release\common.obj dgl.dir\Release\msg_queue.obj dgl.dir\Release\socket_communicator.obj dgl.dir\Release\socket_pool.obj dgl.dir\Release\tcp_socket.obj dgl.dir\Release\/src/array/cpu/traversal.cc.obj dgl.dir\Release\/src/array/union_partition.cc.obj dgl.dir\Release\/src/graph/transform/cpu/knn.cc.obj dgl.dir\Release\/src/graph/transform/knn.cc.obj dgl.dir\Release\/src/graph/transform/union_partition.cc.obj dgl.dir\Release\/src/graph/traversal.cc.obj Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Creating library C:/Jenkins/workspace/dgl_PR-4530/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4530/build/Release/dgl.exp nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4530\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4530/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4530/build/Release/.. if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd FinalizeBuildStatus: Deleting file "dgl.dir\Release\dgl.tlog\unsuccessfulbuild". Touching "dgl.dir\Release\dgl.tlog\dgl.lastbuildstate". 17>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj" (19) on node 1 (default targets). 19>PrepareForBuild: Creating directory "runUnitTests.dir\Release\". Creating directory "runUnitTests.dir\Release\runUnitTests.tlog\". InitializeBuildStatus: Creating "runUnitTests.dir\Release\runUnitTests.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/CMakeLists.txt nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4530\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"runUnitTests.dir\Release\\" /Fd"runUnitTests.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc" graph_index_test.cc message_queue_test.cc socket_communicator_test.cc string_test.cc test_aten.cc test_csrmm.cc test_partition.cc test_rowwise.cc test_sampler.cc test_serialize.cc test_smart_ptr_serialize.cc test_spmat_coo.cc test_spmat_csr.cc test_spmm.cc test_unit_graph.cc test_zerocopy_serialize.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(400): message : see reference to function template instantiation 'void _TestUnitGraph(DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc) 19>C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\../../src/random/cpu/sample_utils.h(267): message : see reference to function template instantiation 'void std::fill>>,int>(const _FwdIt,const _FwdIt,const int &)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _Ty=float, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\../../src/random/cpu/sample_utils.h(264): message : while compiling class template member function 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\../../src/random/cpu/sample_utils.h(281): message : see reference to function template instantiation 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc(86): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc(99): message : see reference to function template instantiation 'void _TestWithoutReplacementOrder(dgl::RandomEngine *)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4530\include\dgl\./aten/csr.h(226): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/onerank_reduce.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_i32.o /usr/bin/ar: creating lib/libxsmm.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_f64.o /usr/bin/ar: creating lib/libxsmmext.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_f32.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@802cac3a4e24) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 49%] Built target libxsmm Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_max_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Link: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\link.exe /ERRORREPORT:QUEUE /OUT:"C:\Jenkins\workspace\dgl_PR-4530\build\Release\runUnitTests.exe" /INCREMENTAL:NO /NOLOGO lib\Release\gtest.lib lib\Release\gtest_main.lib Release\dgl.lib lib\Release\gtest.lib "third_party\dmlc-core\Release\dmlc.lib" kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4530/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4530/build/Release/runUnitTests.lib" /MACHINE:X64 /machine:x64 runUnitTests.dir\Release\graph_index_test.obj runUnitTests.dir\Release\message_queue_test.obj runUnitTests.dir\Release\socket_communicator_test.obj runUnitTests.dir\Release\string_test.obj runUnitTests.dir\Release\test_aten.obj runUnitTests.dir\Release\test_csrmm.obj runUnitTests.dir\Release\test_partition.obj runUnitTests.dir\Release\test_rowwise.obj runUnitTests.dir\Release\test_sampler.obj runUnitTests.dir\Release\test_serialize.obj runUnitTests.dir\Release\test_smart_ptr_serialize.obj runUnitTests.dir\Release\test_spmat_coo.obj runUnitTests.dir\Release\test_spmat_csr.obj runUnitTests.dir\Release\test_spmm.obj runUnitTests.dir\Release\test_unit_graph.obj runUnitTests.dir\Release\test_zerocopy_serialize.obj Creating library C:/Jenkins/workspace/dgl_PR-4530/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4530/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4530\build\Release\runUnitTests.exe FinalizeBuildStatus: Deleting file "runUnitTests.dir\Release\runUnitTests.tlog\unsuccessfulbuild". Touching "runUnitTests.dir\Release\runUnitTests.tlog\runUnitTests.lastbuildstate". 19>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj" (20) on node 4 (default targets). 20>PrepareForBuild: Creating directory "x64\Release\ALL_BUILD\". Creating directory "x64\Release\ALL_BUILD\ALL_BUILD.tlog\". InitializeBuildStatus: Creating "x64\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4530/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild". Touching "x64\Release\ALL_BUILD\ALL_BUILD.tlog\ALL_BUILD.lastbuildstate". 20>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4530\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> (ClCompile target) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(396,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(284,10): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'unsigned __int64' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(287,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(291,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc(296,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4530\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj" (default target) (19) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4530\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4530\build\runUnitTests.vcxproj] 148 Warning(s) 0 Error(s) Time Elapsed 00:00:55.53 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4530\python\build Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Obtaining file:///C:/Jenkins/workspace/dgl_PR-4530/python Preparing metadata (setup.py): started Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@198a94d0716c) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 48%] Built target libxsmm Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: numpy>=1.14.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (1.19.5) Requirement already satisfied: scipy>=1.1.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (1.2.0) Requirement already satisfied: networkx>=2.1 in c:\program files\python36\lib\site-packages (from dgl==0.10) (2.2) Requirement already satisfied: requests>=2.19.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (2.24.0) Requirement already satisfied: tqdm in c:\program files\python36\lib\site-packages (from dgl==0.10) (4.58.0) nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Collecting psutil>=5.8.0 Using cached psutil-5.9.2-cp36-cp36m-win_amd64.whl (248 kB) Requirement already satisfied: decorator>=4.3.0 in c:\program files\python36\lib\site-packages (from networkx>=2.1->dgl==0.10) (4.4.2) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (1.25.10) Requirement already satisfied: certifi>=2017.4.17 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2020.6.20) Requirement already satisfied: chardet<4,>=3.0.2 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2.10) Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Installing collected packages: psutil, dgl Running setup.py develop for dgl Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Successfully installed dgl psutil-5.9.2 [Pipeline] echo Packing build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll into dgl-cpu-win64 [Pipeline] stash Stashed 3 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 92%] Linking CXX shared library libdgl.so [ 92%] Built target dgl Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client [ 92%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o /root/jenkins/workspace/dgl_PR-4530/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4530/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ [100%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_server [100%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4530 ~/jenkins/workspace/dgl_PR-4530/python ~/jenkins/workspace/dgl_PR-4530 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4530 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 654M -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 2 root root 4.0K Aug 1 13:21 audit drwxr-xr-x 2 root root 4.0K Aug 16 08:41 avahi drwxr-xr-x 2 root root 4.0K Aug 1 13:21 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 dri drwxr-xr-x 2 root root 4.0K Aug 16 08:40 engines-1.1 drwxr-xr-x 2 root root 12K Aug 1 13:21 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Aug 16 08:40 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:40 gio drwxr-xr-x 2 root root 4.0K Aug 16 08:41 girepository-1.0 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2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Aug 16 08:41 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Aug 16 08:41 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:41 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M Jul 4 11:25 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 2022 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 2022 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 18 Jan 4 2018 libfabric.so.1 -> libfabric.so.1.9.3 -rw-r--r-- 1 root root 676K Jan 4 2018 libfabric.so.1.9.3 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 23 Apr 5 2018 libfontconfig.so.1 -> libfontconfig.so.1.10.1 -rw-r--r-- 1 root root 276K Apr 5 2018 libfontconfig.so.1.10.1 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 lrwxrwxrwx 1 root root 18 Jul 6 11:25 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 11:25 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 11:25 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 11:25 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Apr 3 2018 libjbig.a lrwxrwxrwx 1 root root 12 Apr 3 2018 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Apr 3 2018 libjbig.so.0 -rw-r--r-- 1 root root 579K Jun 4 2020 libjpeg.a lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Jun 4 2020 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Aug 16 08:41 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:41 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Aug 16 08:41 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 May 12 13:52 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 13:52 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 May 12 13:52 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 13:52 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 13:52 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 2022 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 2022 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M May 3 10:19 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 10:19 libm.a -rw-r--r-- 1 root root 186 May 3 10:19 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K May 3 10:19 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 10:19 libmvec.a lrwxrwxrwx 1 root root 34 May 3 10:19 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 10:19 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Jul 26 11:28 libmysqlclient.so.20 -> libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 3.8M Jul 26 11:28 libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 11:25 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 11:25 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 07:42 libpcre.a lrwxrwxrwx 1 root root 34 May 17 07:42 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 07:42 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 07:42 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 07:42 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 07:42 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 07:42 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 07:42 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 07:42 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 07:42 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Dec 17 2017 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Dec 17 2017 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Nov 26 2020 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Nov 26 2020 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 May 18 01:58 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K May 18 01:58 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Aug 16 08:41 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Jul 1 15:56 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Jul 1 15:56 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 2022 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 2022 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Aug 6 2017 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 43K Aug 6 2017 libshine.so.3.0.1 -rw-r--r-- 1 root root 181K Jul 6 11:25 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K Jul 4 11:25 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 11:25 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 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-rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M Aug 1 14:25 libxml2.a lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M Aug 1 14:25 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Mar 26 2022 libz.a lrwxrwxrwx 1 root root 36 Mar 26 2022 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.11 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 lrwxrwxrwx 1 root root 23 Nov 17 2016 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 17 2016 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 17 2016 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 17 2016 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 nss drwxr-xr-x 2 root root 4.0K Aug 16 08:41 odbc drwxr-xr-x 2 root root 4.0K Aug 16 08:41 openblas drwxr-xr-x 3 root root 4.0K Aug 16 08:41 openmpi drwxr-xr-x 1 root root 4.0K Aug 16 08:40 perl drwxr-xr-x 16 root root 4.0K Aug 1 13:21 perl-base drwxr-xr-x 2 root root 4.0K Aug 16 08:41 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 rsocket drwxr-xr-x 2 root root 4.0K Aug 16 08:41 sasl2 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 vdpau drwxr-xr-x 2 root root 4.0K Aug 16 08:41 x264-10bit -rw-r--r-- 1 root root 204 Aug 1 14:25 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so into dgl-cpu-linux [Pipeline] stash Stashed 4 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 2733688de6ae6fa038f42ee9f95e324b29c6fc464b0e1f8b3bdce77f38b88728 $ docker rm -f 2733688de6ae6fa038f42ee9f95e324b29c6fc464b0e1f8b3bdce77f38b88728 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Archiving objects > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4530@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4530@2/third_party/nccl/src [ 49%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4530@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Archiving objects > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4530@3/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4530@3/third_party/nccl/src [ 49%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/transform/cuda/cuda_to_block.cu(123): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (392): here /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsrHetero(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const std::vector> &, const std::vector> &, const std::vector> &, std::vector> *, std::vector>, std::allocator>>> *, const std::vector> &, const std::vector> &) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsr(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const dgl::aten::CSRMatrix &, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector>) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampling/randomwalks/frequency_hashmap.cu(105): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (435): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/transform/cuda/cuda_to_block.cu(123): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (392): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/transform/cuda/cuda_to_block.cu(123): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (392): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/transform/cuda/cuda_to_block.cu(123): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (392): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsrHetero(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const std::vector> &, const std::vector> &, const std::vector> &, std::vector> *, std::vector>, std::allocator>>> *, const std::vector> &, const std::vector> &) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4530@3/src/graph/transform/cuda/cuda_to_block.cu(123): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (392): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampling/randomwalks/frequency_hashmap.cu(105): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (435): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsr(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const dgl::aten::CSRMatrix &, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector>) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsrHetero(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const std::vector> &, const std::vector> &, const std::vector> &, std::vector> *, std::vector>, std::allocator>>> *, const std::vector> &, const std::vector> &) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampling/randomwalks/frequency_hashmap.cu(105): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (435): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsrHetero(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const std::vector> &, const std::vector> &, const std::vector> &, std::vector> *, std::vector>, std::allocator>>> *, const std::vector> &, const std::vector> &) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampling/randomwalks/frequency_hashmap.cu(105): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (435): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampling/randomwalks/frequency_hashmap.cu(105): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (435): here /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsrHetero(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const std::vector> &, const std::vector> &, const std::vector> &, std::vector> *, std::vector>, std::allocator>>> *, const std::vector> &, const std::vector> &) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsr(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const dgl::aten::CSRMatrix &, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector>) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsr(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const dgl::aten::CSRMatrix &, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector>) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/./spmm.cuh(157): warning #177-D: variable "arr_len" was declared but never referenced detected during instantiation of "void dgl::aten::SpMMCsr(const std::__cxx11::string &, const std::__cxx11::string &, const dgl::BcastOff &, const dgl::aten::CSRMatrix &, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector>) [with XPU=2, IdType=int32_t, bits=16]" /root/jenkins/workspace/dgl_PR-4530@3/src/array/cuda/spmm.cu(150): here Scanning dependencies of target dgl [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o In file included from /root/jenkins/workspace/dgl_PR-4530@2/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4530@2/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4530@2/include/dgl/runtime/packed_func.h:502:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4530@2/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4530@2/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4530@2/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4530@2/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4530@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4530@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4530@2/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4530@2/src/graph/sampler.cc:1189:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@2/src/graph/sampler.cc:1193:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@2/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4530@2/src/array/libra_partition.cc:396:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf(fp, "%ld,%ld,%f\n", &u, &v, &w); // reading an edge - the src and dst global node IDs ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@2/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@2/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client [ 95%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 95%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4530@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4530@2/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:86:44: required from here /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:87:44: required from here /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:195:40: required from here /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:196:40: required from here /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@2/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { [100%] Linking CXX executable rpc_client [100%] Linking CXX executable rpc_server [100%] Built target rpc_client [100%] Built target rpc_server [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4530@2 ~/jenkins/workspace/dgl_PR-4530@2/python ~/jenkins/workspace/dgl_PR-4530@2 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-3.7/dgl/mock_sparse creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-3.7/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/3d/73/d8c87b5612c58d1e6c6d91997c1590771d34e4ee27d9c11eb1e64ecbf365/psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4fb54941aac044a61db9d8eb56fc5bee207db3bc58645d657249030e15ba3727 Best match: psutil 5.9.2 Processing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding psutil 5.9.2 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.2-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4530@2 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 1.8G -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 1 root root 4.0K May 28 19:15 audit drwxr-xr-x 2 root root 4.0K Aug 16 08:53 avahi drwxr-xr-x 2 root root 4.0K Apr 28 00:03 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 dri drwxr-xr-x 2 root root 4.0K May 23 21:53 engines-1.1 drwxr-xr-x 1 root root 12K May 28 19:15 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gio drwxr-xr-x 2 root root 4.0K Aug 16 08:53 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-> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Aug 16 08:54 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Aug 16 08:54 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:54 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M May 3 17:51 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 lrwxrwxrwx 1 root root 15 Aug 9 2019 libcublas.so -> libcublas.so.10 lrwxrwxrwx 1 root root 23 Aug 9 2019 libcublas.so.10 -> libcublas.so.10.2.1.243 -rw-r--r-- 1 root root 60M Aug 9 2019 libcublas.so.10.2.1.243 lrwxrwxrwx 1 root root 17 Aug 9 2019 libcublasLt.so -> libcublasLt.so.10 lrwxrwxrwx 1 root root 25 Aug 9 2019 libcublasLt.so.10 -> libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 29M Aug 9 2019 libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 32M Aug 9 2019 libcublasLt_static.a -rw-r--r-- 1 root root 72M Aug 9 2019 libcublas_static.a lrwxrwxrwx 1 root root 29 May 28 20:19 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Oct 27 2019 libcudnn.so.7 -> libcudnn.so.7.6.5 -rw-r--r-- 1 root root 409M Oct 27 2019 libcudnn.so.7.6.5 lrwxrwxrwx 1 root root 32 May 28 20:19 libcudnn_static.a -> /etc/alternatives/libcudnn_stlib -rw-r--r-- 1 root root 386M Oct 27 2019 libcudnn_static_v7.a -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 2022 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 2022 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 18 Jan 4 2018 libfabric.so.1 -> libfabric.so.1.9.3 -rw-r--r-- 1 root root 676K Jan 4 2018 libfabric.so.1.9.3 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 23 Apr 5 2018 libfontconfig.so.1 -> libfontconfig.so.1.10.1 -rw-r--r-- 1 root root 276K Apr 5 2018 libfontconfig.so.1.10.1 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 lrwxrwxrwx 1 root root 18 Jul 6 11:25 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 11:25 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 11:25 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 11:25 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Apr 3 2018 libjbig.a lrwxrwxrwx 1 root root 12 Apr 3 2018 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Apr 3 2018 libjbig.so.0 -rw-r--r-- 1 root root 579K Jun 4 2020 libjpeg.a lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Jun 4 2020 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 17 Sep 3 2016 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 223K Sep 3 2016 libksba.so.8.11.6 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Aug 16 08:54 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:54 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Aug 16 08:54 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 May 12 13:52 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 13:52 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 May 12 13:52 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 13:52 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 13:52 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 2022 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 2022 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M May 3 10:19 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 10:19 libm.a -rw-r--r-- 1 root root 186 May 3 10:19 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K May 3 10:19 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 10:19 libmvec.a lrwxrwxrwx 1 root root 34 May 3 10:19 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 10:19 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Jul 26 11:28 libmysqlclient.so.20 -> libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 3.8M Jul 26 11:28 libmysqlclient.so.20.3.26 lrwxrwxrwx 1 root root 12 Oct 26 2020 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 16 Oct 26 2020 libnccl.so.2 -> libnccl.so.2.8.3 -rw-r--r-- 1 root root 78M Oct 26 2020 libnccl.so.2.8.3 -rw-r--r-- 1 root root 95M Oct 26 2020 libnccl_static.a -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 11:25 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 11:25 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 15 Aug 9 2019 libnvblas.so -> libnvblas.so.10 lrwxrwxrwx 1 root root 23 Aug 9 2019 libnvblas.so.10 -> libnvblas.so.10.2.1.243 -rw-r--r-- 1 root root 526K Aug 9 2019 libnvblas.so.10.2.1.243 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 07:42 libpcre.a lrwxrwxrwx 1 root root 34 May 17 07:42 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 07:42 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 07:42 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 07:42 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 07:42 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 07:42 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 07:42 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 07:42 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 07:42 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Dec 17 2017 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Dec 17 2017 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Nov 26 2020 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Nov 26 2020 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 May 18 01:58 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K May 18 01:58 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Aug 16 08:53 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Jul 1 15:56 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Jul 1 15:56 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 2022 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 2022 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Aug 6 2017 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 43K Aug 6 2017 libshine.so.3.0.1 -rw-r--r-- 1 root root 181K Jul 6 11:25 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K May 3 17:51 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 11:25 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M Aug 1 14:25 libxml2.a lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M Aug 1 14:25 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Mar 26 2022 libz.a lrwxrwxrwx 1 root root 36 Mar 26 2022 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.11 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 lrwxrwxrwx 1 root root 23 Nov 17 2016 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 17 2016 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 17 2016 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 17 2016 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 nss drwxr-xr-x 2 root root 4.0K Aug 16 08:53 odbc drwxr-xr-x 2 root root 4.0K Aug 16 08:53 openblas drwxr-xr-x 3 root root 4.0K Aug 16 08:53 openmpi drwxr-xr-x 1 root root 4.0K May 28 19:15 perl drwxr-xr-x 16 root root 4.0K Apr 28 00:03 perl-base drwxr-xr-x 2 root root 4.0K Aug 16 08:54 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 rsocket drwxr-xr-x 2 root root 4.0K May 23 21:53 sasl2 drwxr-xr-x 2 root root 4.0K May 28 19:16 stubs drwxr-xr-x 2 root root 4.0K Aug 16 08:53 vdpau drwxr-xr-x 2 root root 4.0K Aug 16 08:53 x264-10bit -rw-r--r-- 1 root root 204 Aug 1 14:25 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so into dgl-gpu-linux [Pipeline] stash Stashed 4 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 198a94d0716c1f6cdb9e26cb2ebc3b5383acb6103a3824866e2e67fcc64c6ea3 $ docker rm -f 198a94d0716c1f6cdb9e26cb2ebc3b5383acb6103a3824866e2e67fcc64c6ea3 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 62%] Building CXX object 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CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o In file included from /root/jenkins/workspace/dgl_PR-4530@3/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4530@3/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/runtime/packed_func.h:502:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@3/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4530@3/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4530@3/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4530@3/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampler.cc:1189:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@3/src/graph/sampler.cc:1193:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@3/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4530@3/src/array/libra_partition.cc:396:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf(fp, "%ld,%ld,%f\n", &u, &v, &w); // reading an edge - the src and dst global node IDs ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@3/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@3/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 95%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4530@3/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4530@3/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:86:44: required from here /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:87:44: required from here /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:195:40: required from here /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:196:40: required from here /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4530@3/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { [100%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_server [100%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4530@3 ~/jenkins/workspace/dgl_PR-4530@3/python ~/jenkins/workspace/dgl_PR-4530@3 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv WARNING: Cython is not installed, will compile without cython module running install /opt/conda/lib/python3.9/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( /opt/conda/lib/python3.9/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. warnings.warn( running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-39 creating build/lib.linux-x86_64-cpython-39/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-39/dgl creating build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry creating build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/function creating build/lib.linux-x86_64-cpython-39/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn creating build/lib.linux-x86_64-cpython-39/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib creating build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-39/dgl/utils creating build/lib.linux-x86_64-cpython-39/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-39/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-39/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim creating build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading creating build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading creating build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-39/dgl/backend creating build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops creating build/lib.linux-x86_64-cpython-39/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-39/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/cuda creating build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-39/dgl/storages creating build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling creating build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-39/dgl/data creating build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed creating build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate creating build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms creating build/lib.linux-x86_64-cpython-39/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn creating build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/functional creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling creating build/lib.linux-x86_64-cpython-39/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/contrib/data creating build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime creating build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2 running build_ext creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-39/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-39/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-cpython-39/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-cpython-39/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-cpython-39/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-cpython-39/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-cpython-39/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-cpython-39/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-cpython-39/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-cpython-39/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-39/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-39/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-cpython-39/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-39/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-39.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO creating dist creating 'dist/dgl-0.10-py3.9-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.9-linux-x86_64.egg creating /opt/conda/lib/python3.9/site-packages/dgl-0.10-py3.9-linux-x86_64.egg Extracting dgl-0.10-py3.9-linux-x86_64.egg to /opt/conda/lib/python3.9/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/lib/python3.9/site-packages/dgl-0.10-py3.9-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for certifi>=2017.4.17 Reading https://pypi.org/simple/certifi/ /opt/conda/lib/python3.9/site-packages/pkg_resources/__init__.py:123: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release warnings.warn( Downloading https://files.pythonhosted.org/packages/1d/38/fa96a426e0c0e68aabc68e896584b83ad1eec779265a028e156ce509630e/certifi-2022.9.24-py3-none-any.whl#sha256=90c1a32f1d68f940488354e36370f6cca89f0f106db09518524c88d6ed83f382 Best match: certifi 2022.9.24 Processing certifi-2022.9.24-py3-none-any.whl Installing certifi-2022.9.24-py3-none-any.whl to /opt/conda/lib/python3.9/site-packages Adding certifi 2022.9.24 to easy-install.pth file Installed /opt/conda/lib/python3.9/site-packages/certifi-2022.9.24-py3.9.egg Searching for psutil==5.9.2 Best match: psutil 5.9.2 Adding psutil 5.9.2 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for networkx==2.8.6 Best match: networkx 2.8.6 Adding networkx 2.8.6 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for scipy==1.9.1 Best match: scipy 1.9.1 Adding scipy 1.9.1 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for numpy==1.22.4 Best match: numpy 1.22.4 Adding numpy 1.22.4 to easy-install.pth file Installing f2py script to /opt/conda/bin Installing f2py3 script to /opt/conda/bin Installing f2py3.9 script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Finished processing dependencies for dgl==0.10 WARNING: Cython is not installed, will compile without cython module running build_ext ~/jenkins/workspace/dgl_PR-4530@3 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 507M -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 1 root root 4.0K Sep 19 18:34 audit drwxr-xr-x 2 root root 4.0K Apr 28 00:03 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 1 root root 4.0K Sep 19 18:34 engines-1.1 drwxr-xr-x 1 root root 12K Sep 19 18:34 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Sep 19 18:34 krb5 drwxr-xr-x 2 root root 4.0K May 20 08:07 ldscripts -rw-r--r-- 1 root root 2.0K May 3 10:19 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 10:19 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M Jul 4 11:25 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Aug 31 19:18 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Aug 31 19:18 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Aug 31 19:18 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Aug 31 19:18 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Aug 31 19:18 libcurl.so.4.5.0 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 18 Mar 8 2022 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 2022 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 2 12:58 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 2 12:58 libgnutls.so.30.14.10 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 17 Sep 3 2016 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 223K Sep 3 2016 libksba.so.8.11.6 lrwxrwxrwx 1 root root 21 May 12 13:52 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 13:52 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 18 May 12 13:52 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 13:52 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 13:52 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 3.5M May 3 10:19 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 10:19 libm.a -rw-r--r-- 1 root root 186 May 3 10:19 libm.so -rw-r--r-- 1 root root 1.5K May 3 10:19 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 10:19 libmvec.a lrwxrwxrwx 1 root root 34 May 3 10:19 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 10:19 libmvec_nonshared.a lrwxrwxrwx 1 root root 12 Oct 19 2021 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 17 Oct 19 2021 libnccl.so.2 -> libnccl.so.2.11.4 -rw-r--r-- 1 root root 220M Oct 19 2021 libnccl.so.2.11.4 -rw-r--r-- 1 root root 238M Oct 19 2021 libnccl_static.a lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 71K Jun 20 2018 libnuma.a lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so -> libnuma.so.1.0.0 lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 07:42 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Feb 5 2018 libsigsegv.so.2 -> libsigsegv.so.2.0.5 -rw-r--r-- 1 root root 15K Feb 5 2018 libsigsegv.so.2.0.5 lrwxrwxrwx 1 root root 19 Sep 14 17:02 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Sep 14 17:02 libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 564K Jul 4 11:25 libssl.so.1.1 lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 19 May 1 2020 liburcu-bp.so.6 -> liburcu-bp.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu-bp.so.6.0.0 lrwxrwxrwx 1 root root 20 May 1 2020 liburcu-cds.so.6 -> liburcu-cds.so.6.0.0 -rw-r--r-- 1 root root 38K May 1 2020 liburcu-cds.so.6.0.0 lrwxrwxrwx 1 root root 23 May 1 2020 liburcu-common.so.6 -> liburcu-common.so.6.0.0 -rw-r--r-- 1 root root 18K May 1 2020 liburcu-common.so.6.0.0 lrwxrwxrwx 1 root root 19 May 1 2020 liburcu-mb.so.6 -> liburcu-mb.so.6.0.0 -rw-r--r-- 1 root root 27K May 1 2020 liburcu-mb.so.6.0.0 lrwxrwxrwx 1 root root 21 May 1 2020 liburcu-qsbr.so.6 -> liburcu-qsbr.so.6.0.0 -rw-r--r-- 1 root root 27K May 1 2020 liburcu-qsbr.so.6.0.0 lrwxrwxrwx 1 root root 23 May 1 2020 liburcu-signal.so.6 -> liburcu-signal.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu-signal.so.6.0.0 lrwxrwxrwx 1 root root 16 May 1 2020 liburcu.so.6 -> liburcu.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu.so.6.0.0 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 drwxr-xr-x 1 root root 4.0K May 20 08:07 perl drwxr-xr-x 16 root root 4.0K Apr 28 00:03 perl-base -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K May 20 07:57 sasl2 [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so into dgl-cugraph-linux [Pipeline] stash Stashed 2 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 802cac3a4e24a860b6f39f04b3bdd3f17975ae00c824a519555f97de77eca3b6 $ docker rm -f 802cac3a4e24a860b6f39f04b3bdd3f17975ae00c824a519555f97de77eca3b6 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // parallel [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Test) [Pipeline] parallel [Pipeline] { (Branch: C++ CPU) [Pipeline] { (Branch: C++ GPU) [Pipeline] { (Branch: C++ CPU (Win64)) [Pipeline] { (Branch: Tensorflow CPU) [Pipeline] { (Branch: Tensorflow GPU) [Pipeline] { (Branch: Torch CPU) [Pipeline] { (Branch: Torch CPU (Win64)) [Pipeline] { (Branch: Torch GPU) [Pipeline] { (Branch: Distributed) [Pipeline] { (Branch: PyTorch Cugraph GPU) [Pipeline] { (Branch: MXNet CPU) [Pipeline] { (Branch: MXNet GPU) [Pipeline] { (Branch: DGL-Go) [Pipeline] stage [Pipeline] { (C++ CPU) [Pipeline] stage [Pipeline] { (C++ GPU) [Pipeline] stage [Pipeline] { (C++ CPU (Win64)) [Pipeline] stage [Pipeline] { (Tensorflow CPU) [Pipeline] stage [Pipeline] { (Tensorflow GPU) [Pipeline] stage [Pipeline] { (Torch CPU) [Pipeline] stage [Pipeline] { (Torch CPU (Win64)) [Pipeline] stage [Pipeline] { (Torch GPU) [Pipeline] stage [Pipeline] { (Distributed) [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU) [Pipeline] stage [Pipeline] { (MXNet CPU) [Pipeline] stage [Pipeline] { (MXNet GPU) [Pipeline] stage [Pipeline] { (DGL-Go) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4530 [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4530@2 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530 Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@2 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@3 [Pipeline] node [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@4 [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout using credential 150de63f-189c-4717-bcaf-010460d2f51a The recommended git tool is: git The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4530@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@3 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@4 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Cleaning workspace Fetching without tags Fetching without tags Cleaning workspace Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Cleaning workspace Cleaning workspace Fetching without tags Fetching without tags Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [Pipeline] withEnv [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] withEnv [Pipeline] { Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] isUnix + docker pull dgllib/dgl-ci-cpu:v220816 [Pipeline] withEnv Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:ssh_v220818 + docker pull dgllib/dgl-ci-cpu:v220816 Cleaning workspace Fetching without tags > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-cpu:v220816 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [Pipeline] withEnv [Pipeline] { Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) Fetching without tags [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Fetching without tags v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [Pipeline] isUnix [Pipeline] withEnv ssh_v220818: Pulling from dgllib/dgl-ci-cpu Digest: sha256:9c66e1df96cfae9cb9aa9ba39ef4921e152409d1447d6b123659ff4f84b4291f Status: Image is up to date for dgllib/dgl-ci-cpu:ssh_v220818 docker.io/dgllib/dgl-ci-cpu:ssh_v220818 [Pipeline] { v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] } [Pipeline] sh Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [Pipeline] // withEnv Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [Pipeline] { v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] sh [Pipeline] sh Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [Pipeline] } + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] // withEnv [Pipeline] } [Pipeline] withEnv [Pipeline] { [Pipeline] // withEnv [Pipeline] withDockerContainer > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker inspect -f . dgllib/dgl-ci-cpu:ssh_v220818 . + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4530\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4530@2 -v /root/jenkins/workspace/dgl_PR-4530@2:/root/jenkins/workspace/dgl_PR-4530@2:rw,z -v /root/jenkins/workspace/dgl_PR-4530@2@tmp:/root/jenkins/workspace/dgl_PR-4530@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4530@2\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 $ docker top 55b6b5f21533f19044cfa6e93a003f41cfb49d02f531f2f8ed47567de99efa7b -eo pid,comm [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] bat [Pipeline] bat [Pipeline] } [Pipeline] } [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] // withEnv [Pipeline] // withEnv [Pipeline] withDockerContainer + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . dgl-manual-large-cpu does not seem to be running inside a container administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530>git submodule update --recursive --init administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530@2>git submodule update --recursive --init $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4530@4 -v /root/jenkins/workspace/dgl_PR-4530@4:/root/jenkins/workspace/dgl_PR-4530@4:rw,z -v /root/jenkins/workspace/dgl_PR-4530@4@tmp:/root/jenkins/workspace/dgl_PR-4530@4@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:ssh_v220818 cat + docker pull dgllib/dgl-ci-gpu:cu101_v220816 Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/METIS'... $ docker top 8671a25bb4eff99ab0fd1f2224831da5bf24bcd615ac299f85b75399e8e58fc5 -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 $ docker top 1664d3b16f9b4d69eb5324f9bca1c0cf2c1dd8221393b75907965461286edc92 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] } [Pipeline] } [Pipeline] stage [Pipeline] { (Distributed Torch CPU Unit test) [Pipeline] sh [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4530@3 -v /root/jenkins/workspace/dgl_PR-4530@3:/root/jenkins/workspace/dgl_PR-4530@3:rw,z -v /root/jenkins/workspace/dgl_PR-4530@3@tmp:/root/jenkins/workspace/dgl_PR-4530@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials $ docker top 671a76195cca2afec0963f37144283003727c68b7bd1396b991d1bc4bd5017b7 -eo pid,comm [Pipeline] { [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] checkout The recommended git tool is: git [Pipeline] stage using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] { (Torch CPU Unit test) Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@35b64baa; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] sh [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } Fetching without tags [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace $ docker top 20e51ba6df13ffeafe30b35b20839843d23a4aa9b01edc35ea4d10353341b2d6 -eo pid,comm [Pipeline] { > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@11ab0b94; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) The recommended git tool is: git Fetching changes from the remote Git repository using credential [Pipeline] checkout 150de63f-189c-4717-bcaf-010460d2f51a Cleaning workspace Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@66bc1a06; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) The recommended git tool is: git Fetching changes from the remote Git repository using credential 150de63f-189c-4717-bcaf-010460d2f51a Cleaning workspace Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@558c15d2; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) [Pipeline] sh Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Fetching without tags Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@54d1e6f3; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] sh Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 + git submodule update --recursive --init Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@2/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@4/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@3/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... [Pipeline] sh [Pipeline] sh [Pipeline] sh + git submodule update --recursive --init + git submodule update --recursive --init + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/dmlc-core'... Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/thrust'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tvm'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/nccl'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/xbyak'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/METIS/GKlib'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/xbyak'... [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] bat Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/thrust/dependencies/cub'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4530\third_party\googletest\googletest\src\gtest_main.cc [==========] Running 89 tests from 21 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [06:21:09] C:\Jenkins\workspace\dgl_PR-4530\src\rpc\network\msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (13 ms) [----------] 3 tests from MessageQueueTest (13 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530@2>CALL tests\scripts\task_unit_test.bat pytorch Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/METIS/GKlib'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/thrust/dependencies/cub'... Requirement already satisfied: pytest in c:\program files\python36\lib\site-packages (7.0.1) Requirement already satisfied: psutil in c:\users\administrator\envs\jenkins-dgl-pr-4530-15\lib\site-packages (5.9.2) Requirement already satisfied: pandas in c:\program files\python36\lib\site-packages (1.1.5) Requirement already satisfied: pyyaml in c:\program files\python36\lib\site-packages (6.0) Requirement already satisfied: pydantic in c:\program files\python36\lib\site-packages (1.9.0) Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/libnop'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Collecting rdflib Using cached rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: pluggy<2.0,>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (0.13.1) Requirement already satisfied: iniconfig in c:\program files\python36\lib\site-packages (from pytest) (1.0.1) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Requirement already satisfied: python-dateutil>=2.7.3 in c:\program files\python36\lib\site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in c:\program files\python36\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) Requirement already satisfied: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: zipp>=0.5 in c:\program files\python36\lib\site-packages (from importlib-metadata>=0.12->pytest) (3.1.0) Installing collected packages: isodate, rdflib Successfully installed isodate-0.6.1 rdflib-5.0.0 Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4530-15\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4530@2 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' [ OK ] SocketCommunicatorTest.SendAndRecv (6006 ms) [----------] 1 test from SocketCommunicatorTest (6006 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (1 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (1 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (1 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (1 ms) [----------] 2 tests from MatrixUnionTest (55 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (2 ms) [----------] 3 tests from CsrmmTest (4 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (23 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (12 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (5 ms) [ RUN ] RowwiseTest.TestCOOSampling Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... [ OK ] RowwiseTest.TestCOOSampling (1775 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/dmlc-core'... [ OK ] RowwiseTest.TestCOOSamplingUniform (278 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Cloning into '/root/jenkins/workspace/dgl_PR-4530@2/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/libuv'... Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/thrust/dependencies/cub'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux collected 3333 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] SKIPPED (Do no...) [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] SKIPPED (Do no...) [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] [Pipeline] sh [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4530 ~/jenkins/workspace/dgl_PR-4530/build ~/jenkins/workspace/dgl_PR-4530 total 15M -rwxr-xr-x 1 root root 12M Oct 18 06:08 libdgl.so -rwxr-xr-x 1 root root 2.4M Oct 18 06:08 runUnitTests drwxr-xr-x 3 root root 4.0K Oct 18 06:21 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4530/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 101 tests from 23 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [06:21:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (1 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (23 ms) [----------] 3 tests from MessageQueueTest (24 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv + bash tests/scripts/task_unit_test.sh tensorflow cpu [ OK ] RowwiseTest.TestCOOerEtypeSampling (3431 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/pybind11'... Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 7.8 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 16.8 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/dlpack'... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 71.8 MB/s eta 0:00:00 Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 42.7 MB/s eta 0:00:00 Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/dmlc-core'... Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 7.0 MB/s eta 0:00:00 Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.8/500.8 kB 45.8 MB/s eta 0:00:00 Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 4.2 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/thrust/dependencies/cub'... [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2543 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (2 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (21 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (8095 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_distributed_test.sh pytorch cpu Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/dlpack'... Collecting psutil [ OK ] SampleUtilsTest.TestWithReplacement (2238 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 9.2 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 29.9 MB/s eta 0:00:00 Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/dmlc-core'... Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 109.8 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 51.4 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Collecting filelock Downloading filelock-3.8.0-py3-none-any.whl (10 kB) [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] sh Collecting pyarrow Downloading pyarrow-9.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.3 MB) Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/rang'... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 35.3/35.3 MB 74.9 MB/s eta 0:00:00 Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 7.3 MB/s eta 0:00:00 Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cpu) + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4530 ~/jenkins/workspace/dgl_PR-4530/build ~/jenkins/workspace/dgl_PR-4530 total 285M -rwxr-xr-x 1 root root 282M Oct 18 06:14 libdgl.so -rwxr-xr-x 1 root root 2.5M Oct 18 06:14 runUnitTests drwxr-xr-x 3 root root 4.0K Oct 18 06:21 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4530@2/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 101 tests from 23 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [06:21:30] /root/jenkins/workspace/dgl_PR-4530@2/src/rpc/network/msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (7 ms) [----------] 3 tests from MessageQueueTest (7 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Cloning into '/root/jenkins/workspace/dgl_PR-4530@3/third_party/tvm/3rdparty/vta-hw'... Installing collected packages: pyyaml, pydantic, pyarrow, psutil, isodate, filelock, rdflib Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [ OK ] SocketCommunicatorTest.SendAndRecv (7005 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch cpu ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 6.1 MB/s eta 0:00:00 Successfully installed filelock-3.8.0 isodate-0.6.1 psutil-5.9.2 pyarrow-9.0.0 pydantic-1.10.2 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@4 collecting ... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 11.0 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 42.3 MB/s eta 0:00:00 Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 139.6 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 56.1 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 6.9 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cpu) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] run graph store with port 5593 collected 68 items tests/distributed/test_dist_graph_store.py::test_server_client Converting to homogeneous graph takes 0.005s, peak mem: 0.617 GB Convert a graph into a bidirected graph: 0.007 seconds, peak memory: 0.621 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 0.621 GB [06:21:34] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199923 edges into 4 parts and get 56497 edge cuts Metis partitioning: 0.063 seconds, peak memory: 0.633 GB Assigning nodes to METIS partitions takes 0.072s, peak mem: 0.633 GB Save partitions: 0.007 seconds, peak memory: 0.633 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 Successfully installed isodate-0.6.1 psutil-5.9.2 pydantic-1.10.2 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@3 collecting ... /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load dist_graph_test_2 start client 1 [06:21:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [06:21:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29275]... [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5002 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12007 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (2 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (1 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (1 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (1 ms) [----------] 2 tests from MatrixUnionTest (1 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (0 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (0 ms) [----------] 3 tests from CsrmmTest (2 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling start client 2 [06:21:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start client 3 [06:21:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] [ OK ] SocketCommunicatorTest.SendAndRecv (7002 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout [06:21:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (8602 ms) [----------] 3 tests from SampleUtilsTest (10840 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (35 ms) [----------] 3 tests from RandomTest (36 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (1 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (2 ms) [----------] 4 tests from Serialize (5 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = class std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = class std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (0 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (2 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (7 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (1 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (32 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (14 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (0 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (57 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (4 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (7 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (6 ms) [----------] 7 tests from UniGraphTest (23 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (25137 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] Client [1101] waits on 172.17.0.3:59845 Client [1119] waits on 172.17.0.3:58329 Client [1112] waits on 172.17.0.3:53969 Client [1106] waits on 172.17.0.3:44557 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 0.633 GB Save partitions: 0.005 seconds, peak memory: 0.633 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12003 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] [06:21:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load dist_graph_test_1 start server 0 start graph service on server 0 for part 0 [06:21:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:21:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27866]... [ OK ] ArrayTest.TestRange (733 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (2 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (1 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (738 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (1 ms) [----------] 1 test from LineGraphTest (1 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (358 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (364 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (18 ms) [ RUN ] PartitionTest.TestRangePartition [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [ OK ] PartitionTest.TestRangePartition (24 ms) [----------] 2 tests from PartitionTest (42 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (12 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (12 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (6 ms) [ RUN ] RowwiseTest.TestCOOSampling [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ OK ] RowwiseTest.TestCOOSampling (207 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (32 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] [ OK ] RowwiseTest.TestCOOerEtypeSampling (4025 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] Client [1156] waits on 172.17.0.3:35903 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2631 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (6 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (3 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (6937 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin [ OK ] SampleUtilsTest.TestWithReplacement (3187 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.2 pydantic-1.10.2 pytz-2022.4 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.12.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@2 collecting ... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4963 ms) [----------] 3 tests from SampleUtilsTest (8150 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (16 ms) [----------] 3 tests from RandomTest (17 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (0 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (0 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (0 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (1 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (4 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (0 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (10 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (1 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (1 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (1 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (1 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (1 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (53 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (6 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (2 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (1 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (86 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (0 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (2 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (15 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (0 ms) [----------] 7 tests from UniGraphTest (16 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (0 ms) [----------] 4 tests from ZeroCopySerialize (0 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (28365 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4530 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 20e51ba6df13ffeafe30b35b20839843d23a4aa9b01edc35ea4d10353341b2d6 $ docker rm -f 20e51ba6df13ffeafe30b35b20839843d23a4aa9b01edc35ea4d10353341b2d6 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 [ OK ] RowwiseTest.TestCSRSampling (24077 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [ OK ] RowwiseTest.TestCSRSamplingUniform (3717 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (20 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (8 ms) [ RUN ] RowwiseTest.TestCOOSampling > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] Converting to homogeneous graph takes 0.010s, peak mem: 1.370 GB Save partitions: 0.025 seconds, peak memory: 1.370 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load dist_graph_test_3 [06:22:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [06:22:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10995]... [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] + docker pull dgllib/dgl-ci-gpu:cu101_v220816 PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] $ docker top bae7752e658089e7131b094b5756bbb45a214cd7cdb18f20471cfb84a8cd4cd4 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow GPU Unit test) [Pipeline] sh PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@389e8d07; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] Fetching without tags PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] [Pipeline] sh PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] Client [1180] waits on 172.17.0.3:47961 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] Converting to homogeneous graph takes 0.009s, peak mem: 1.373 GB Save partitions: 0.025 seconds, peak memory: 1.373 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [06:22:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load dist_graph_test_3 start server 0 start graph service on server 0 for part 0 [06:22:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18307]... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Client [1204] waits on 172.17.0.3:51631 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.373 GB Save partitions: 0.008 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load check_server_client_True_1_1_1 [06:22:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [06:22:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17339]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Client [1220] waits on 172.17.0.3:60437 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.373 GB Save partitions: 0.006 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' [06:22:39] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:39] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load check_server_client_False_1_1_1 start server 0 start graph service on server 0 for part 0 [06:22:39] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:39] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:25523]... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Client [1234] waits on 172.17.0.3:59335 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 1%] tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client Converting to homogeneous graph takes 0.003s, peak mem: 1.373 GB Save partitions: 0.007 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [06:22:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load check_dist_emb_True_1_1_1 start server 0 start graph service on server 0 for part 0 [06:22:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:28621]... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Client [1248] waits on 172.17.0.3:41807 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.373 GB Save partitions: 0.006 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [06:22:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load check_dist_emb_False_1_1_1 start server 0 start graph service on server 0 for part 0 [06:22:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:22:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13449]... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow gpu Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 11.7 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 49.5 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 111.4 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 61.8 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 17.1 MB/s eta 0:00:00 Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.8/500.8 kB 69.2 MB/s eta 0:00:00 Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 8.2 MB/s eta 0:00:00 Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] Client [1265] waits on 172.17.0.3:56397 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 2%] tests/distributed/test_dist_graph_store.py::test_standalone Converting to homogeneous graph takes 0.003s, peak mem: 1.373 GB Save partitions: 0.007 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. end Client[-1] in group[-1] is exiting... PASSED [ 4%] tests/distributed/test_dist_graph_store.py::test_standalone_node_emb Converting to homogeneous graph takes 0.002s, peak mem: 1.373 GB Save partitions: 0.004 seconds, peak memory: 1.373 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 5%] tests/distributed/test_dist_graph_store.py::test_split[True] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.2 MB/s eta 0:00:00 PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb [ OK ] RowwiseTest.TestCOOSampling (57735 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (8964 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] Converting to homogeneous graph takes 0.008s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.443 GB [06:23:11] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 175264 edge cuts Metis partitioning: 0.187 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.205s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.017 seconds Split the graph: 0.066 seconds Construct subgraphs: 0.074 seconds Splitting the graph into partitions takes 0.158s, peak mem: 1.443 GB part 0 has 10000 nodes of type n1 and 2574 are inside the partition part 0 has 9873 nodes of type n2 and 2576 are inside the partition part 0 has 9901 nodes of type n3 and 2580 are inside the partition part 0 has 92426 edges of type r1 and 25798 are inside the partition part 0 has 40959 edges of type r2 and 25834 are inside the partition part 0 has 40713 edges of type r3 and 25619 are inside the partition part 1 has 10000 nodes of type n1 and 2574 are inside the partition part 1 has 9904 nodes of type n2 and 2576 are inside the partition part 1 has 9906 nodes of type n3 and 2580 are inside the partition part 1 has 92768 edges of type r1 and 25800 are inside the partition part 1 has 40705 edges of type r2 and 25798 are inside the partition part 1 has 41105 edges of type r3 and 25978 are inside the partition part 2 has 9999 nodes of type n1 and 2281 are inside the partition part 2 has 9794 nodes of type n2 and 2281 are inside the partition part 2 has 9801 nodes of type n3 and 2280 are inside the partition part 2 has 89496 edges of type r1 and 22774 are inside the partition part 2 has 36244 edges of type r2 and 22739 are inside the partition part 2 has 36291 edges of type r3 and 22826 are inside the partition part 3 has 10000 nodes of type n1 and 2571 are inside the partition part 3 has 9883 nodes of type n2 and 2577 are inside the partition part 3 has 9906 nodes of type n3 and 2580 are inside the partition part 3 has 92623 edges of type r1 and 25728 are inside the partition part 3 has 40948 edges of type r2 and 25829 are inside the partition part 3 has 40613 edges of type r3 and 25877 are inside the partition Save partitions: 0.065 seconds, peak memory: 1.443 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 7%] tests/distributed/test_dist_graph_store.py::test_split[False] Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:23:12] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199881 edges into 4 parts and get 56505 edge cuts Metis partitioning: 0.048 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.053s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.029 seconds Construct subgraphs: 0.039 seconds Splitting the graph into partitions takes 0.074s, peak mem: 1.443 GB part 0 has 10000 nodes and 2500 are inside the partition part 0 has 91129 edges and 24877 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91186 edges and 25000 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91516 edges and 24993 are inside the partition part 3 has 9999 nodes and 2500 are inside the partition part 3 has 91502 edges and 25130 are inside the partition Save partitions: 0.050 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 8%] tests/distributed/test_dist_graph_store.py::test_split_even Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:23:13] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199899 edges into 4 parts and get 56484 edge cuts Metis partitioning: 0.053 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.059s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.005 seconds Split the graph: 0.028 seconds Construct subgraphs: 0.040 seconds Splitting the graph into partitions takes 0.073s, peak mem: 1.443 GB part 0 has 10000 nodes and 2499 are inside the partition part 0 has 91503 edges and 24912 are inside the partition part 1 has 9999 nodes and 2501 are inside the partition part 1 has 91486 edges and 25104 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91713 edges and 25057 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91587 edges and 24927 are inside the partition Save partitions: 0.043 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1731 nodes and 1716 are in the partition intersection has 1731 part 0 get 17282 edges and 17098 are in the partition intersection has 17282 part 1 get 1731 nodes and 1730 are in the partition intersection has 1731 part 1 get 17282 edges and 17238 are in the partition PASSED [ 5%] tests/compute/test_data.py::test_fraud intersection has 17282 part 2 get 1730 nodes and 1730 are in the partition intersection has 1730 part 2 get 17282 edges and 17229 are in the partition intersection has 17282 part 3 get 1730 nodes and 1713 are in the partition intersection has 1730 part 3 get 17282 edges and 17282 are in the partition intersection has 17282 PASSED [ 10%] tests/distributed/test_dist_tensor.py::test_op Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 11%]Client[-1] in group[-1] is exiting... tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_find_edges [06:23:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start graph service on server 0 for part 0 [06:23:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22732]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] Client [1089] waits on 172.17.0.3:40295 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Downloading /root/jenkins/workspace/dgl_PR-4530@4/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@4/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.027 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_find_edges [06:23:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start graph service on server 0 for part 0 [06:23:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.2 pydantic-1.10.2 pytz-2022.4 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.12.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... Client [1089] waits on 172.17.0.3:36449 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Server (0) shutdown. Server is exiting... PASSED [ 13%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:23:29] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type r12 and 531 are inside the partition part 0 has 571 edges of type r13 and 535 are inside the partition part 0 has 554 edges of type r23 and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type r12 and 479 are inside the partition part 1 has 530 edges of type r13 and 495 are inside the partition part 1 has 529 edges of type r23 and 493 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_find_edges start graph service on server 0 for part 0 [06:23:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10819]... /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_find_edges start graph service on server 1 for part 1 [06:23:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10821]... [06:23:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Client [1089] waits on 172.17.0.3:47673 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:23:36] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.038 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_find_edges start graph service on server 0 for part 0 [06:23:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... 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tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] Client [1089] waits on 172.17.0.3:52575 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server (0) shutdown.Server is exiting... Server is exiting... PASSED [ 14%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.026 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_get_degrees PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] start graph service on server 0 for part 0 [06:23:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27870]... [06:23:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] Client [1089] waits on 172.17.0.3:51989 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] Server (0) shutdown. Done get_degreeServer is exiting... check results PASSED [ 16%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:23:49] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_get_degrees PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] start graph service on server 0 for part 0 [06:23:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12848]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_get_degrees [06:23:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start graph service on server 1 for part 1 [06:23:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:23:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12850]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Client [1089] waits on 172.17.0.3:57379 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done get_degree Server (1) shutdown. Server is exiting... check results PASSED [ 17%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 19%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.027 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17223]... [06:24:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] Client [1386] waits on 172.17.0.3:44137 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24719]... [06:24:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark [ OK ] RowwiseTest.TestCOOerEtypeSampling (49660 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform Client [1089] waits on 172.17.0.3:35275 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. [06:24:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] Client [1089] waits on 172.17.0.3:34537 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt SKIPPED (Do not su...) [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] Server (0) shutdown. Server is exiting... Done sampling PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] Converting to homogeneous graph takes 0.003s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [06:24:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc SKIPPED (Do not support wi...) [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%]Client [1089] waits on 172.17.0.3:53237 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.003s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 14%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... 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tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 29%] tests/pytorch/test_nn.py::test_set2set PASSED [ 29%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 30%] 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PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 32%] 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[ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 11990 edges in the graph and 0 edge cuts for 1 partitions. 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [06:24:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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[ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 38%]PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Not su...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 43%]PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] Client [1089] waits on 172.17.0.3:57999 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done samplingServer (0) shutdown. Server is exiting... PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 47%] 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PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (32543 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (337 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (884 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_sequential PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] Client [1089] waits on 172.17.0.3:53393 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] [06:24:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10819]... PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] [ OK ] RowwiseTest.TestCSRSamplingBiased (3265 ms) [----------] 11 tests from RowwiseTest (181210 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] [ OK ] SampleUtilsTest.TestWithReplacement (2584 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] Client [1089] waits on 172.17.0.3:54613 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.009 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... [06:24:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3924 ms) [----------] 3 tests from SampleUtilsTest (6508 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (9 ms) [----------] 3 tests from RandomTest (10 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (62 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (48 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (36 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (85 ms) [----------] 4 tests from Serialize (232 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] [ OK ] SpmatTest.COOToCSR (296 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (5 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (72 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (0 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] [ OK ] SpmatTest.TestCSRSliceRows (590 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (2 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (3 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (972 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (1 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (2 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (5 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (71 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (136 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (40 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (90 ms) [----------] 7 tests from UniGraphTest (337 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] [ OK ] ZeroCopySerialize.HeteroGraph (34 ms) [----------] 4 tests from ZeroCopySerialize (34 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (201348 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4530 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 1664d3b16f9b4d69eb5324f9bca1c0cf2c1dd8221393b75907965461286edc92 PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] Client [1089] waits on 172.17.0.3:55549 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] [06:24:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] $ docker rm -f 1664d3b16f9b4d69eb5324f9bca1c0cf2c1dd8221393b75907965461286edc92 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] Cleaning workspace Fetching without tags PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] Client [1089] waits on 172.17.0.3:46299 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... PASSED [ 20%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:24:54] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:24:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17314]... + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] cu101_v220629: Pulling from dgllib/dgl-ci-cpu Digest: sha256:1f698bdb17257817c14ca7339a211328f6dc310f344a4a7fbf4cc7e53854427c Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220629 docker.io/dgllib/dgl-ci-cpu:cu101_v220629 [Pipeline] } start graph service on server 1 for part 1 [06:24:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17316]... [Pipeline] // withEnv PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." [06:24:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:24:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] $ docker top f0eaaf63231deac72776125ae076fff36c788e5737a9c51cebe62589b91da7e8 -eo pid,comm [Pipeline] { PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] [Pipeline] stage [Pipeline] { (MXNet CPU Unit test) [Pipeline] sh PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@1fec8817; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] Fetching without tags PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%][Pipeline] sh tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] Client [1500] waits on 172.17.0.3:35141 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:00] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type r12 and 531 are inside the partition part 0 has 571 edges of type r13 and 535 are inside the partition part 0 has 554 edges of type r23 and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type r12 and 479 are inside the partition part 1 has 530 edges of type r13 and 495 are inside the partition part 1 has 529 edges of type r23 and 493 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] start graph service on server 0 for part 0 [06:25:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14572]... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14574]... [06:25:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] Client [1089] waits on 172.17.0.3:43597 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] Server (1) shutdown. Server is exiting... Done sampling PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:07] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6000 edges into 2 parts and get 199 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 555 nodes of type n1 and 493 are inside the partition part 0 has 550 nodes of type n2 and 486 are inside the partition part 0 has 556 nodes of type n3 and 496 are inside the partition part 0 has 508 edges of type r12 and 473 are inside the partition part 0 has 517 edges of type r13 and 486 are inside the partition part 0 has 494 edges of type r23 and 462 are inside the partition part 1 has 577 nodes of type n1 and 517 are inside the partition part 1 has 567 nodes of type n2 and 514 are inside the partition part 1 has 594 nodes of type n3 and 524 are inside the partition part 1 has 541 edges of type r12 and 517 are inside the partition part 1 has 565 edges of type r13 and 524 are inside the partition part 1 has 574 edges of type r23 and 538 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 59%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 59%] tests/pytorch/test_nn.py::test_twirls PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 59%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] 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PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] 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PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] 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tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [06:25:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] 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PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 63%] 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tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] Client [1089] waits on 172.17.0.3:55145 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Server (1) shutdown.Done sampling Server is exiting...Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:12] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 100 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 2989 edges of type r12 and 2109 are inside the partition part 0 has 3328 edges of type r13 and 2342 are inside the partition part 0 has 3166 edges of type r23 and 2217 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 100 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2942 edges of type r12 and 2091 are inside the partition part 1 has 3191 edges of type r13 and 2278 are inside the partition part 1 has 3082 edges of type r23 and 2183 are inside the partition Save partitions: 0.006 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] start graph service on server 1 for part 1 [06:25:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18026]... [06:25:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] Client [1089] waits on 172.17.0.3:44735 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.003s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:18] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.009 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.011s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 100 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 2989 edges of type r12 and 2109 are inside the partition part 0 has 3328 edges of type r13 and 2342 are inside the partition part 0 has 3166 edges of type r23 and 2217 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 100 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2942 edges of type r12 and 2091 are inside the partition part 1 has 3191 edges of type r13 and 2278 are inside the partition part 1 has 3082 edges of type r23 and 2183 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:19] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:19] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] start graph service on server 1 for part 1 [06:25:20] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:20] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18026]... [06:25:20] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:20] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] Client [1089] waits on 172.17.0.3:36667 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:24] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 23980 edges into 2 parts and get 4887 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 214 nodes of type n3 and 111 are inside the partition part 0 has 2646 edges of type r12 and 1856 are inside the partition part 0 has 2949 edges of type r13 and 2133 are inside the partition part 0 has 2765 edges of type r23 and 2020 are inside the partition part 1 has 200 nodes of type n1 and 102 are inside the partition part 1 has 190 nodes of type n2 and 97 are inside the partition part 1 has 216 nodes of type n3 and 109 are inside the partition part 1 has 2707 edges of type r12 and 1944 are inside the partition part 1 has 2976 edges of type r13 and 2067 are inside the partition part 1 has 2834 edges of type r23 and 1970 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. 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[06:25:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18026]... [06:25:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] Client [1089] waits on 172.17.0.3:58051 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:29] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 26 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 521 nodes of type game and 512 are inside the partition part 0 has 273 nodes of type user and 257 are inside the partition part 0 has 559 edges of type buys and 550 are inside the partition part 1 has 505 nodes of type game and 488 are inside the partition part 1 has 252 nodes of type user and 243 are inside the partition part 1 has 467 edges of type buys and 450 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 45%] tests.4-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 77/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] %] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%]PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18026]... 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[06:25:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] 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PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] 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Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%]Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] Client [1089] waits on 172.17.0.3:37049 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] Server (0) shutdown. Server is exiting... Done sampling Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:35] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 24 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 495 nodes of type game and 485 are inside the partition part 0 has 258 nodes of type user and 245 are inside the partition part 0 has 505 edges of type buys and 495 are inside the partition part 1 has 529 nodes of type game and 515 are inside the partition part 1 has 265 nodes of type user and 255 are inside the partition part 1 has 519 edges of type buys and 505 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27870]... PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27872]... PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] [06:25:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1] SKIPPED (Do not sup...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[4] SKIPPED (Do not sup...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[101] SKIPPED (Do not s...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1024] SKIPPED (Do not ...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] SKIPPED (...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (D...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] SKIPPED (D...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] SKIPPED (...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (D...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] SKIPPED (D...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 87%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 87%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 87%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 88%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 88%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 88%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 88%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 88%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (D...) [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype1] PASSED [ 89%]PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype0] PASSED [ 89%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [100%] ============================== warnings summary =============================== python\dgl\backend\backend.py:1841 C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\backend\backend.py:1841: DeprecationWarning: invalid escape sequence \P """ tests/pytorch/test_dataloader.py::test_shadow[0] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp c:\program files\python36\lib\site-packages\numpy\matrixlib\defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. return matrix(data, dtype=dtype, copy=False) tests/pytorch/test_dataloader.py: 80 warnings C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\dataloading\dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 48 warnings C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\dataloading\dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\nn\pytorch\glob.py:732: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_x = th.tensor(lengths_x, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_set_trans C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\nn\pytorch\glob.py:733: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_mem = th.tensor(lengths_mem, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\backend\pytorch\tensor.py:53: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ..\aten\src\ATen\native\Copy.cpp:240.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: C:\Jenkins\workspace\dgl_PR-4530@2\pytest_backend.xml -- ============================ slowest 100 durations ============================ 9.71s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 8.87s call tests/pytorch/test_dataloader.py::test_shadow[0] 8.60s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 8.13s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 8.02s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 8.01s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 8.00s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 7.95s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 7.94s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 7.93s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 7.90s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 7.90s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 7.89s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 7.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 7.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 5.93s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 5.91s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 5.90s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 5.75s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 3.53s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 2.69s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 2.67s call tests/pytorch/test_dataloader.py::test_shadow[4] 2.63s call tests/pytorch/test_dataloader.py::test_saint[node-4] 1.34s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 1.31s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 1.31s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 1.31s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 1.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 1.29s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 1.29s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.23s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.23s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.21s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.21s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.79s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.69s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.62s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.52s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.51s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.51s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 0.50s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] 0.49s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.45s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.44s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.44s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.41s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] 0.40s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] 0.39s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] 0.37s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.34s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] 0.34s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] 0.33s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] 0.33s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] 0.32s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.30s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] 0.30s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.30s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] 0.29s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] 0.29s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] 0.29s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.29s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] 0.13s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] 0.13s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] 0.13s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] 0.13s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] ========= 2942 passed, 391 skipped, 148 warnings in 261.34s (0:04:21) ========= PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4530-15\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4530@2 collecting ... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] Client [1089] waits on 172.17.0.3:51327 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:41] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 23 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 524 nodes of type game and 515 are inside the partition part 0 has 269 nodes of type user and 256 are inside the partition part 0 has 541 edges of type buys and 532 are inside the partition part 1 has 498 nodes of type game and 485 are inside the partition part 1 has 253 nodes of type user and 244 are inside the partition part 1 has 482 edges of type buys and 468 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:25:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10976]... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10978]... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] [06:25:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] Client [1089] waits on 172.17.0.3:37609 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Server (1) shutdown. Server is exiting... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:25:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:26561]... PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] [06:25:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Client [1089] waits on 172.17.0.3:42555 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] Server (1) shutdown. Server is exiting... Done sampling PASSED [ 22%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] Save partitions: 0.025 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.040 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 23%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:25:54] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.026 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_in_subgraph start graph service on server 0 for part 0 [06:25:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17223]... PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_in_subgraph start graph service on server 1 for part 1 [06:25:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17225]... [06:25:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:25:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] Client [1089] waits on 172.17.0.3:54529 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 25%] tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.031 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.031 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 26%] tests/distributed/test_mp_dataloader.py::test_standalone NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[-1] in group[-1] is exiting... PASSED [ 27%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:01] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] start graph service on server 0 for part 0 [06:26:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23848]... PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:26:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23851]... PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%]Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: importlib-resources in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:26:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23854]... PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] [06:26:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] Client [1704] waits on 172.17.0.3:41913 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] Server (2) shutdown. Server (1) shutdown.Server is exiting... Server is exiting... PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 29%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:10] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:26:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21149]... PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] start graph service on server 1 for part 1 [06:26:12] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:12] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21152]... PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:26:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21155]... PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] [06:26:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] [[06:26:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:06:26:15] 140/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc: :Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [06:26:15[] 06:26:15/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [06:26:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] Client [1740] waits on 172.17.0.3:56539Client [1742] waits on 172.17.0.3:54941Client [1743] waits on 172.17.0.3:44505 Client [1741] waits on 172.17.0.3:44151 Client [1736] waits on 172.17.0.3:37883 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] Client[1] in group[0] is exiting... PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] Client[3] in group[0] is exiting... PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] Client[2] in group[0] is exiting... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] Server (0) shutdown. Server is exiting... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.2 pydantic-1.9.2 pytz-2022.4 pyyaml-6.0 rdflib-5.0.0 scikit-learn-0.24.2 threadpoolctl-3.1.0 torch-1.10.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 30%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:22] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:26:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19105]... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:26:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19108]... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:26:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19111]... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] [06:26:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] collected 2433 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int32] SKIPPED [ 0%]PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int64] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int64] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[int32] PASSED [ 0%] tests/compute/test_basics.py::test_repr[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int64] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int32] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int64] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int32] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int64] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int32] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int64] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] Client [1842] waits on 172.17.0.3:59839 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int64] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int32] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int64] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 32%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:30] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.015 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int64] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int64] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:26:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15094]... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int32] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int64] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Skip MXNet) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Skip ...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] SKIPPED (CPU ...) [ 6%] tests/compute/test_filter.py::test_array_filter[int64] SKIPPED (CPU ...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:26:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15097]... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:26:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15100]... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%]PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] tests/compute/test_graph.py::test_is_sorted PASSED [ 6%] tests/compute/test_graph.py::test_default_types PASSED [ 6%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] [06:26:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%]PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] Client [1876] waits on 172.17.0.3:59059Client [1878] waits on 172.17.0.3:42941Client [1870] waits on 172.17.0.3:52383 Client [1879] waits on 172.17.0.3:40355 Client [1877] waits on 172.17.0.3:35675 Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] Client[0] in group[0] is exiting... PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[int32] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] Client[2] in group[0] is exiting... PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int32] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] Client[1] in group[0] is exiting... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] Server (0) shutdown. Server is exiting... Server (2) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 33%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int32] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:42] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [06:26:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17055]... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [06:26:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17058]... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] server: #clients=1 load test_sampling PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] start graph service on server 2 for part 2 [06:26:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17061]... PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int32] SKIPPED (Nee...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int64] SKIPPED (Nee...) [ 8%] tests/compute/test_heterograph.py::test_updates[int32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] [06:26:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] Client [1976] waits on 172.17.0.3:42465 Machine (0) group (0) client (0) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 35%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:26:52] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:26:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21029]... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [06:26:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21032]... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] server: #clients=5 PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] load test_sampling start graph service on server 2 for part 2 [06:26:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21035]... PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 5%] tests/compute/test_data.py::test_fakenews PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:26:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:26:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] Client [2014] waits on 172.17.0.3:48495Client [2015] waits on 172.17.0.3:46045Client [2013] waits on 172.17.0.3:53833Client [2012] waits on 172.17.0.3:33311 Client [2006] waits on 172.17.0.3:35425 Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] Client[4] in group[0] is exiting... PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] Client[3] in group[0] is exiting... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] Client[2] in group[0] is exiting... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 36%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:27:04] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.026 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [06:27:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13349]... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [06:27:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13352]... PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [06:27:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13355]... PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] [06:27:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast Client [2114] waits on 172.17.0.3:59007 Machine (0) group (0) client (0) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 38%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:27:12] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Split the graph: 0.002 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:27:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13039]... PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [06:27:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13042]... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [06:27:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13045]... PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] [06:27:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] Client [2151] waits on 172.17.0.3:55031Client [2149] waits on 172.17.0.3:54757 Client [2148] waits on 172.17.0.3:48647 Client [2150] waits on 172.17.0.3:40795 Client [2142] waits on 172.17.0.3:36241 Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] Client[3] in group[0] is exiting... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] Client[1] in group[0] is exiting... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] Client[4] in group[0] is exiting... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] Server (2) shutdown. Server is exiting... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 39%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [06:27:24] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:27:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22449]... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:27:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22452]... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:27:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22455]... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] [06:27:28] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:28] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] Client [2248] waits on 172.17.0.3:35061 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] SKIPPED [ 93%] 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tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Only ...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) 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[ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 8 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[True] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_compute.xml -- ============================ slowest 100 durations ============================= 33.21s call tests/compute/test_kernel.py::test_all_binary_builtins 3.76s call tests/compute/test_heterograph.py::test_forking_pickler 1.01s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.87s call tests/compute/test_graph.py::test_query 0.71s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.63s call tests/compute/test_heterograph.py::test_query[idtype1] 0.57s call tests/compute/test_heterograph.py::test_query[idtype0] 0.50s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.45s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.35s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.34s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.33s call tests/compute/test_kernel.py::test_copy_src_reduce 0.28s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.28s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.27s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.25s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.24s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.24s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.24s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.23s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] ========= 2227 passed, 211 skipped, 216 warnings in 252.81s (0:04:12) ========== ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] Converting to homogeneous graph takes 0.010s, peak mem: 1.816 GB Convert a graph into a bidirected graph: 0.015 seconds, peak memory: 1.816 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.816 GB [06:27:47] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151967 edge cuts Metis partitioning: 0.196 seconds, peak memory: 1.816 GB Assigning nodes to METIS partitions takes 0.213s, peak mem: 1.816 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.056 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.127s, peak mem: 1.816 GB part 0 has 9953 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47194 edges of type r1 and 31122 are inside the partition part 0 has 47579 edges of type r2 and 31249 are inside the partition part 0 has 47745 edges of type r3 and 31389 are inside the partition part 1 has 9973 nodes of type n1 and 3433 are inside the partition part 1 has 9988 nodes of type n2 and 3435 are inside the partition part 1 has 9993 nodes of type n3 and 3440 are inside the partition part 1 has 51531 edges of type r1 and 34462 are inside the partition part 1 has 51817 edges of type r2 and 34460 are inside the partition part 1 has 51649 edges of type r3 and 34618 are inside the partition part 2 has 9974 nodes of type n1 and 3433 are inside the partition part 2 has 9981 nodes of type n2 and 3436 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51897 edges of type r1 and 34516 are inside the partition part 2 has 51614 edges of type r2 and 34491 are inside the partition part 2 has 51541 edges of type r3 and 34293 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.816 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:27:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:48] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13169]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:27:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13172]... PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:27:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13175]... PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] [06:27:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:51] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] 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tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] 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Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 41%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.34s call tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.12s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.12s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.07s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_simple_pool 0.03s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_glob_att_pool 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] ====================== 920 passed, 35 warnings in 13.73s ======================= NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.816 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.816 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.816 GB [06:27:55] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.816 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.816 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.816 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.816 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:27:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21763]... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 bae7752e658089e7131b094b5756bbb45a214cd7cdb18f20471cfb84a8cd4cd4 server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:27:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21766]... $ docker rm -f bae7752e658089e7131b094b5756bbb45a214cd7cdb18f20471cfb84a8cd4cd4 server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:27:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21769]... [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [06:27:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:27:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220816 > git clean -fdx # timeout=10 Client [2325] waits on 172.17.0.3:50817 Client [2324] waits on 172.17.0.3:41909 Client [2323] waits on 172.17.0.3:34939Client [2318] waits on 172.17.0.3:41299 Client [2322] waits on 172.17.0.3:39865 Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } Client[0] in group[0] is exiting... [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat Client[3] in group[0] is exiting... $ docker top 3e578fcb443ee55159c279e1f25a75262e2bff58fd94da2c6c5a9d7ef20efbe0 -eo pid,comm [Pipeline] { Client[4] in group[0] is exiting... [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... + nvidia-smi Tue Oct 18 06:28:06 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 43C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@763f2204; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark Converting to homogeneous graph takes 0.011s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.014 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.830 GB [06:28:22] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152247 edge cuts Metis partitioning: 0.191 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.207s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.053 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.123s, peak mem: 1.830 GB part 0 has 9943 nodes of type n1 and 3134 are inside the partition part 0 has 9955 nodes of type n2 and 3138 are inside the partition part 0 has 9979 nodes of type n3 and 3141 are inside the partition part 0 has 47300 edges of type r1 and 31167 are inside the partition part 0 has 47431 edges of type r2 and 31205 are inside the partition part 0 has 47789 edges of type r3 and 31453 are inside the partition part 1 has 9965 nodes of type n1 and 3433 are inside the partition part 1 has 9977 nodes of type n2 and 3436 are inside the partition part 1 has 9985 nodes of type n3 and 3439 are inside the partition part 1 has 51641 edges of type r1 and 34580 are inside the partition part 1 has 51895 edges of type r2 and 34567 are inside the partition part 1 has 51543 edges of type r3 and 34265 are inside the partition part 2 has 9972 nodes of type n1 and 3433 are inside the partition part 2 has 9995 nodes of type n2 and 3436 are inside the partition part 2 has 9985 nodes of type n3 and 3440 are inside the partition part 2 has 51526 edges of type r1 and 34353 are inside the partition part 2 has 51938 edges of type r2 and 34428 are inside the partition part 2 has 51784 edges of type r3 and 34582 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.830 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:28:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21270]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:28:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21273]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:28:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21276]... [06:28:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:27] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [2439] waits on 172.17.0.3:51261 Client [2438] waits on 172.17.0.3:36231 Client [2441] waits on 172.17.0.3:38319 Client [2440] waits on 172.17.0.3:41761 Client [2432] waits on 172.17.0.3:35585 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Client[4] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Client[3] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Client[2] in group[0] is exiting... Server (2) shutdown. Server (0) shutdown.Server is exiting... Server is exiting... Server (1) shutdown. Server is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... PASSED [ 42%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:28:34] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.830 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:28:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29782]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:28:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29785]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:28:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29788]... PASSED [ 5%] tests/compute/test_data.py::test_reddit [06:28:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... Client [2538] waits on 172.17.0.3:33637 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) 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'/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob Converting to homogeneous graph takes 0.010s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.830 GB [06:28:57] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151967 edge cuts Metis partitioning: 0.194 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.213s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.056 seconds Construct subgraphs: 0.050 seconds Splitting the graph into partitions takes 0.127s, peak mem: 1.830 GB part 0 has 9953 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47194 edges of type r1 and 31122 are inside the partition part 0 has 47579 edges of type r2 and 31249 are inside the partition part 0 has 47745 edges of type r3 and 31389 are inside the partition part 1 has 9973 nodes of type n1 and 3433 are inside the partition part 1 has 9988 nodes of type n2 and 3435 are inside the partition part 1 has 9993 nodes of type n3 and 3440 are inside the partition part 1 has 51531 edges of type r1 and 34462 are inside the partition part 1 has 51817 edges of type r2 and 34460 are inside the partition part 1 has 51649 edges of type r3 and 34618 are inside the partition part 2 has 9974 nodes of type n1 and 3433 are inside the partition part 2 has 9981 nodes of type n2 and 3436 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51897 edges of type r1 and 34516 are inside the partition part 2 has 51614 edges of type r2 and 34491 are inside the partition part 2 has 51541 edges of type r3 and 34293 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.830 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:28:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18667]... + bash tests/scripts/task_unit_test.sh pytorch gpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 10.3 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 40.5 MB/s eta 0:00:00 server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:28:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:28:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18670]... Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 119.1 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 68.0 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 10.8 MB/s eta 0:00:00 Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cu102) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous start graph service on server 2 for part 2 [06:29:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18673]... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] Successfully installed isodate-0.6.1 psutil-5.9.2 pydantic-1.10.2 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] [06:29:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] Client [2578] waits on 172.17.0.3:34481 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] Client[0] in group[0] is exiting... Server (1) shutdown. Server (2) shutdown.Server is exiting... Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 44%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:29:05] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.830 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:29:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:11423]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:29:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:11426]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:29:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:08] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:11429]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:29:10] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:10] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] 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tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] 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tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] 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tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] Client [2613] waits on 172.17.0.3:52523Client [2615] waits on 172.17.0.3:55665Client [2614] waits on 172.17.0.3:47709Client [2608] waits on 172.17.0.3:57485 Client [2612] waits on 172.17.0.3:50869 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] Client[4] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] Client[2] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] Client[0] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] Client[3] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server (1) shutdown.Server is exiting... Server is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] Converting to homogeneous graph takes 0.010s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.830 GB [06:29:31] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152433 edge cuts Metis partitioning: 0.191 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.208s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.019 seconds Split the graph: 0.056 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.123s, peak mem: 1.830 GB part 0 has 9953 nodes of type n1 and 3136 are inside the partition part 0 has 9958 nodes of type n2 and 3139 are inside the partition part 0 has 9969 nodes of type n3 and 3141 are inside the partition part 0 has 47244 edges of type r1 and 31165 are inside the partition part 0 has 47695 edges of type r2 and 31327 are inside the partition part 0 has 47510 edges of type r3 and 31441 are inside the partition part 1 has 9971 nodes of type n1 and 3432 are inside the partition part 1 has 9986 nodes of type n2 and 3435 are inside the partition part 1 has 9997 nodes of type n3 and 3439 are inside the partition part 1 has 51761 edges of type r1 and 34350 are inside the partition part 1 has 51867 edges of type r2 and 34467 are inside the partition part 1 has 51589 edges of type r3 and 34312 are inside the partition part 2 has 9980 nodes of type n1 and 3432 are inside the partition part 2 has 9973 nodes of type n2 and 3436 are inside the partition part 2 has 9988 nodes of type n3 and 3440 are inside the partition part 2 has 51652 edges of type r1 and 34585 are inside the partition part 2 has 51807 edges of type r2 and 34406 are inside the partition part 2 has 51908 edges of type r3 and 34547 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.830 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:29:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:25054]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:29:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:25057]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] start graph service on server 2 for part 2 [06:29:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:25060]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] [06:29:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:35] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] [[06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: 06:29:36Sender with NetType~] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.ccsocket: is created. 140: Sender with NetType~socket is created.[ 06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: [Receiver with NetType~06:29:36socket] is created./root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc :159: Receiver with NetType~socket is created. [06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] Client [2731] waits on 172.17.0.3:55663Client [2729] waits on 172.17.0.3:56115Client [2730] waits on 172.17.0.3:58203 Client [2728] waits on 172.17.0.3:43311 Client [2724] waits on 172.17.0.3:33941 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly!Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] Client[3] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] Client[4] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] Client[2] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server (2) shutdown.Server is exiting... Server is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 45%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:29:43] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.003 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.830 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.830 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:29:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27571]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:29:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27574]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:29:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:27577]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] [06:29:47] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:29:47] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] Client [2830] waits on 172.17.0.3:55039 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) 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tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] Converting to homogeneous graph takes 0.011s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.830 GB [06:30:05] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152089 edge cuts Metis partitioning: 0.194 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.212s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.018 seconds Split the graph: 0.051 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.118s, peak mem: 1.830 GB part 0 has 9948 nodes of type n1 and 3136 are inside the partition part 0 has 9954 nodes of type n2 and 3138 are inside the partition part 0 has 9980 nodes of type n3 and 3143 are inside the partition part 0 has 47335 edges of type r1 and 31304 are inside the partition PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] part 0 has 47355 edges of type r2 and 31097 are inside the partition part 0 has 47692 edges of type r3 and 31484 are inside the partition part 1 has 9975 nodes of type n1 and 3432 are inside the partition part 1 has 9983 nodes of type n2 and 3436 are inside the partition part 1 has 9990 nodes of type n3 and 3437 are inside the partition part 1 has 51634 edges of type r1 and 34388 are inside the partition part 1 has 51653 edges of type r2 and 34502 are inside the partition part 1 has 51669 edges of type r3 and 34446 are inside the partition part 2 has 9975 nodes of type n1 and 3432 are inside the partition part 2 has 9982 nodes of type n2 and 3436 are inside the partition part 2 has 9989 nodes of type n3 and 3440 are inside the partition part 2 has 51523 edges of type r1 and 34408 are inside the partition part 2 has 52167 edges of type r2 and 34601 are inside the partition part 2 has 51661 edges of type r3 and 34370 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.830 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:30:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14090]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:30:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14093]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:30:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14096]... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] [06:30:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:09] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] Client [2868] waits on 172.17.0.3:40743 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting...Server (2) shutdown. Server is exiting... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 47%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:30:14] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 1046 nodes and 903 are inside the partition PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.830 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:30:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22403]... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:30:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22409]... 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tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] [[06:30:18] 06:30:18/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: 140Sender with NetType~: socketSender with NetType~ is created.socket is created. [06:30:18[] 06:30:18/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [06:30:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:30:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%]PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] 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Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] Client[4] in group[0] is exiting... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] Client[0] in group[0] is exiting... PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Libxs...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] Client[1] in group[0] is exiting... PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 63%] 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Server is exiting... PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED 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tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%]PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[True] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[True] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:344: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). mask = th.tensor(mask, dtype=th.bool) tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:816: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:53: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_compute.xml -- ============================ slowest 100 durations ============================= 24.12s call tests/compute/test_data.py::test_as_graphpred_ogb 14.05s call tests/compute/test_data.py::test_as_linkpred_ogb 8.37s call tests/compute/test_data.py::test_as_nodepred_ogb 6.68s call tests/compute/test_sampler.py::test_negative_sampler 3.27s call tests/compute/test_kernel.py::test_all_binary_builtins 1.34s call tests/compute/test_heterograph.py::test_forking_pickler 0.67s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.39s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.29s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.25s call tests/compute/test_graph.py::test_query 0.20s call tests/compute/test_heterograph.py::test_query[idtype0] 0.19s call tests/compute/test_heterograph.py::test_query[idtype1] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.19s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.17s call tests/compute/test_sampling.py::test_non_uniform_random_walk[True] 0.15s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 0.15s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.15s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.13s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.13s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.13s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.12s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.12s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.12s call tests/compute/test_kernel.py::test_copy_src_reduce 0.11s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.10s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.09s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.08s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.07s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.07s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.06s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.06s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.04s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.04s call tests/compute/test_transform.py::test_remove_nodes[idtype1] 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 0.04s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.03s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype0] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype1] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.03s call tests/compute/test_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_heterograph.py::test_format[idtype0] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_serialize.py::test_load_old_files1 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.03s call tests/compute/test_sampler.py::test_setseed 0.02s call tests/compute/test_heterograph.py::test_convert[idtype0] 0.02s call tests/compute/test_heterograph.py::test_convert[idtype1] 0.02s call tests/compute/test_transform.py::test_to_block[idtype0] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype0] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype1] 0.02s call tests/compute/test_transform.py::test_to_block[idtype1] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_sampler.py::test_layer_sampler 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype1] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.02s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_remove_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_remove_edges[idtype1] 0.02s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 0.02s call tests/compute/test_heterograph.py::test_float_cast 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.01s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.01s call tests/compute/test_readout.py::test_topk[True-g0-idtype0] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype0] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] 0.01s call tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] 0.01s call tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] ========== 2329 passed, 109 skipped, 222 warnings in 83.81s (0:01:23) ========== PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] 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PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] Converting to homogeneous graph takes 0.011s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.830 GB [06:30:41] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151967 edge cuts Metis partitioning: 0.192 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.210s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.057 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.122s, peak mem: 1.830 GB part 0 has 9953 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47194 edges of type r1 and 31122 are inside the partition part 0 has 47579 edges of type r2 and 31249 are inside the partition part 0 has 47745 edges of type r3 and 31389 are inside the partition part 1 has 9973 nodes of type n1 and 3433 are inside the partition part 1 has 9988 nodes of type n2 and 3435 are inside the partition part 1 has 9993 nodes of type n3 and 3440 are inside the partition part 1 has 51531 edges of type r1 and 34462 are inside the partition part 1 has 51817 edges of type r2 and 34460 are inside the partition part 1 has 51649 edges of type r3 and 34618 are inside the partition part 2 has 9974 nodes of type n1 and 3433 are inside the partition part 2 has 9981 nodes of type n2 and 3436 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51897 edges of type r1 and 34516 are inside the partition part 2 has 51614 edges of type r2 and 34491 are inside the partition part 2 has 51541 edges of type r3 and 34293 are inside the partition Save partitions: 0.031 seconds, peak memory: 1.830 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 0 for part 0 [06:30:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:42] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12582]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 1 for part 1 [06:30:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12585]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_sampling start graph service on server 2 for part 2 [06:30:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12588]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] [06:30:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:46] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_data.py::test_minigc /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/minigc.py:181: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fraud.py:230: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations train_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fraud.py:231: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations val_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fraud.py:232: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fakenews.py:165: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations train_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fakenews.py:166: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations val_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/fakenews.py:167: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:1509: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.arange(num_nodes, dtype=np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:1549: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:1550: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:1583: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations graph_ids = np.arange(num_graphs).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:611: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:612: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:613: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:614: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations ngraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:615: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations egraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_data.py:616: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations u_indices = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:604: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530@3/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:344: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). mask = th.tensor(mask, dtype=th.bool) tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:816: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/transforms/functional.py:1320: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:53: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4530@3/pytest_compute.xml - ============================ slowest 100 durations ============================= 100.37s call tests/compute/test_data.py::test_reddit 70.77s call tests/compute/test_kernel.py::test_all_binary_builtins 62.35s call tests/compute/test_data.py::test_fakenews 26.52s call tests/compute/test_data.py::test_as_graphpred 26.22s call tests/compute/test_data.py::test_as_graphpred_ogb 24.66s call tests/compute/test_data.py::test_gin 17.65s call tests/compute/test_sampler.py::test_negative_sampler 13.50s call tests/compute/test_data.py::test_as_linkpred_ogb 9.50s call tests/compute/test_data.py::test_tudataset_regression 8.27s call tests/compute/test_data.py::test_gnn_benchmark 7.74s call tests/compute/test_data.py::test_as_graphpred_reprocess 6.94s call tests/compute/test_data.py::test_as_nodepred_ogb 4.97s call tests/compute/test_data.py::test_wiki_cs 4.08s call tests/compute/test_data.py::test_fraud 3.94s call tests/compute/test_data.py::test_citation_graph 3.68s call tests/compute/test_graph.py::test_query 2.96s call tests/compute/test_data.py::test_add_nodepred_split 2.79s call tests/compute/test_data.py::test_flickr 2.71s call tests/compute/test_kernel.py::test_copy_edge_reduce 2.32s call tests/compute/test_heterograph.py::test_query[idtype1] 2.16s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.13s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 2.06s call tests/compute/test_heterograph.py::test_query[idtype0] 1.82s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 1.81s call tests/compute/test_heterograph.py::test_level2[idtype1] 1.74s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.60s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.55s call tests/compute/test_heterograph.py::test_level2[idtype0] 1.51s call tests/compute/test_sampling.py::test_sample_neighbors_prob 1.43s call tests/compute/test_data.py::test_explain_syn 1.05s call tests/compute/test_heterograph.py::test_forking_pickler 0.83s call tests/compute/test_kernel.py::test_copy_src_reduce 0.71s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.65s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.64s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.61s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.60s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.60s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.60s call tests/compute/test_data.py::test_csvdataset 0.59s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.59s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] 0.58s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.54s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.54s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.52s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.50s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.48s call tests/compute/test_transform.py::test_reorder_nodes 0.47s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.46s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.44s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] 0.41s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.41s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.38s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] 0.37s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.36s call tests/compute/test_subgraph.py::test_in_subgraph[idtype0] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 0.36s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] 0.34s call tests/compute/test_data.py::test_minigc 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] 0.34s call tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] 0.32s call tests/compute/test_data.py::test_as_nodepred2 0.32s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] 0.30s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] ========== 2385 passed, 53 skipped, 264 warnings in 551.46s (0:09:11) ========== PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@3 collecting ... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] collected 3333 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] Client [3020] waits on 172.17.0.3:50819 Client [3014] waits on 172.17.0.3:60011 Client [3018] waits on 172.17.0.3:38785 Client [3021] waits on 172.17.0.3:49273 Client [3019] waits on 172.17.0.3:58535 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] Client[3] in group[0] is exiting... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] Client[2] in group[0] is exiting... PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] Client[1] in group[0] is exiting... PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler SKIPPED [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler SKIPPED (TF doe...) [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 48%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-1] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:30:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:28089]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] [06:30:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int32] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int64] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int32] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int64] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int64] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int32] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int64] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int64] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int32] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int64] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int32] Client [3112] waits on 172.17.0.3:47271 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int32] PASSED [ 50%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int64] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int64] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:30:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:30:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19606]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int64] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int32] [06:31:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:00] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int64] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int64] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int64] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] 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tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int32] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int32] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int64] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int64] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int64] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] Client [3126] waits on 172.17.0.3:56147 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] PASSED [ 51%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-1] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int64] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int32] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] server: #clients=2 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21850]... PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int64] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] [06:31:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:06] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] [06:31:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:07] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int64] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int64] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] Client [3140] waits on 172.17.0.3:48661 Client [3144] waits on 172.17.0.3:40113 Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 52%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] server: #clients=2 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:28918]... PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] [06:31:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk [06:31:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] Client [3168] waits on 172.17.0.3:49865 Client [3172] waits on 172.17.0.3:34497 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] Server (0) shutdown. Server is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 54%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.830 GB Save partitions: 0.002 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:23] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:16300]... PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:31:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:31:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] Client [3200] waits on 172.17.0.3:48793Client [3196] waits on 172.17.0.3:44079 Client [3203] waits on 172.17.0.3:35059 Client [3201] waits on 172.17.0.3:36995 Client [3202] waits on 172.17.0.3:35861 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] Client[2] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] Client[1] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] Client[0] in group[0] is exiting... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 55%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12279]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred [06:31:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] [[06:31:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc06:31:34:] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: 140Sender with NetType~: Sender with NetType~socketsocket is created. is created. [[06:31:3406:31:34] ] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc::159159: : Receiver with NetType~Receiver with NetType~socketsocket is created. is created. [06:31:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:31:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:34] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] Client [3258] waits on 172.17.0.3:58025 Client [3261] waits on 172.17.0.3:57803 Client [3259] waits on 172.17.0.3:57631 Client [3254] waits on 172.17.0.3:44561 Client [3260] waits on 172.17.0.3:59663 Machine (0) group (0) client (4) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] Client[1] in group[0] is exiting... PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] Client[4] in group[0] is exiting... PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] Client[2] in group[0] is exiting... PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] Server (0) shutdown. 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PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 23%] 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tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 29%] tests/pytorch/test_nn.py::test_set2set PASSED [ 29%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 31%]PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 57%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-1] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 32%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. 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tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 38%] 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tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] [06:31:44] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. 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tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_sequential PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] Client [3314] waits on 172.17.0.3:41427 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." Client[0] in group[0] is exiting... PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 58%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.002 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17467]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] [06:31:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] Client [3326] waits on 172.17.0.3:46531 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 60%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-1] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] server: #clients=2 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:31:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19482]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] [06:31:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:56] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] [06:31:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:31:57] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 59%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 59%] tests/pytorch/test_nn.py::test_twirls PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 59%] 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tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] 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PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] 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PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] 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PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED 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tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] 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PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] Client [3342] waits on 172.17.0.3:56249 Client [3346] waits on 172.17.0.3:50451 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] Server (0) shutdown. Server is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] server: #clients=2 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:32:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:03] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12614]... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 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tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] [06:32:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] [06:32:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:05] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 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tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] Client [3368] waits on 172.17.0.3:41805Client [3374] waits on 172.17.0.3:57461 Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_pin_view PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_unpin_automatically PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column PASSED [ 88%] tests/pytorch/test_pin_memory.py::test_pin_empty PASSED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 63%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-1] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:32:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:14] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17628]... PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] [06:32:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:15] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 88%] tests/pytorch/test_stream.py::test_basics PASSED [ 88%] tests/pytorch/test_stream.py::test_set_get_stream PASSED [ 88%] tests/pytorch/test_stream.py::test_record_stream_ndarray PASSED [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_positive PASSED [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_negative PASSED [ 88%] tests/pytorch/test_unified_tensor.py::test_unified_tensor PASSED [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] Client [3405] waits on 172.17.0.3:56971 Client [3403] waits on 172.17.0.3:44667Client [3398] waits on 172.17.0.3:32883Client [3402] waits on 172.17.0.3:42227 Client [3404] waits on 172.17.0.3:46945 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess Client[2] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] Client[3] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] Client[4] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] Server (0) shutdown. Server is exiting... PASSED [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 88%] 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tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 98%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") tests/pytorch/test_dataloader.py::test_graph_dataloader /root/jenkins/workspace/dgl_PR-4530/python/dgl/data/minigc.py:181: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/pytorch/test_dataloader.py: 10 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 700 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:78: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if PYTORCH_VER >= LooseVersion("1.10.0"): tests/pytorch/test_dataloader.py: 128 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4530/python/dgl/nn/pytorch/glob.py:732: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_x = th.tensor(lengths_x, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4530/python/dgl/nn/pytorch/glob.py:733: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_mem = th.tensor(lengths_mem, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:53: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /pytorch/aten/src/ATen/native/Copy.cpp:240.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_backend.xml -- ============================ slowest 100 durations ============================= 26.00s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.38s call tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] 5.24s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 2.11s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 1.81s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.49s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.37s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.35s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.31s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.28s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.25s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.10s call tests/pytorch/test_ipc.py::test_torch_ipc 1.06s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 0.85s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.84s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.84s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.84s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.79s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.75s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.71s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.70s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.53s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.51s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 0.48s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.47s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.33s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] 0.28s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.22s call tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] 0.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.13s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] 0.12s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] 0.12s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] 0.11s call tests/pytorch/test_nn.py::test_set_trans 0.10s call tests/pytorch/test_unified_tensor.py::test_unified_tensor 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] ========= 3064 passed, 269 skipped, 864 warnings in 116.36s (0:01:56) ========== PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cluster_gcn.pkl cmake conda cora_full cora_full.zip dataset dglgo docker docs examples featgraph include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt pyproject.toml pytest_backend.xml pytest_compute.xml python readthedocs.yml src tensoradapter tests third_party tools tutorials PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 64%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@21397034; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 server: #clients=5 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test start graph service on server 0 for part 0 [06:32:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:24] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13309]... [Pipeline] sh PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] + git submodule update --recursive --init > git clean -fdx # timeout=10 [06:32:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] [[06:32:26] 06:32:26/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: 140Sender with NetType~: socketSender with NetType~ is created.socket is created. [[06:32:2606:32:26] ] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc::159159: : Receiver with NetType~Receiver with NetType~socketsocket is created. is created. [06:32:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:32:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] Client [3465] waits on 172.17.0.3:60657 Client [3464] waits on 172.17.0.3:53019 Client [3456] waits on 172.17.0.3:51479Client [3462] waits on 172.17.0.3:45957 Client [3463] waits on 172.17.0.3:46037 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_example_test.sh gpu PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0158, 0.0140, 0.0098, 0.0082, 0.0149, 0.0098, 0.0156, 0.0094, 0.0076, 0.0116, 0.0109, 0.0092, 0.0113, 0.0157, 0.0077, 0.0055, 0.0148, 0.0053, 0.0047, 0.0113, 0.0115, 0.0057, 0.0047, 0.0114, 0.0081, 0.0127, 0.0077, 0.0078, 0.0125, 0.0081, 0.0082, 0.0176, 0.0170, 0.0104, 0.0052, 0.0088, 0.0092, 0.0041, 0.0094, 0.0098, 0.0051, 0.0110, 0.0066, 0.0093, 0.0138, 0.0077, 0.0097, 0.0149, 0.0064, 0.0063, 0.0111, 0.0079, 0.0135, 0.0172, 0.0098, 0.0116, 0.0143, 0.0222, 0.0129, 0.0094, 0.0117, 0.0137, 0.0102, 0.0064, 0.0078, 0.0063, 0.0078, 0.0113, 0.0080, 0.0100, 0.0128, 0.0070, 0.0048, 0.0150, 0.0165, 0.0110, 0.0054, 0.0063, 0.0079, 0.0064, 0.0111, 0.0110, 0.0093, 0.0139, 0.0127, 0.0078, 0.0047, 0.0078, 0.0144, 0.0048, 0.0032, 0.0130, 0.0061, 0.0110, 0.0076, 0.0127, 0.0111, 0.0109, 0.0127, 0.0041]) PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] Client[1] in group[0] is exiting... PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] Client[3] in group[0] is exiting... PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] Client[4] in group[0] is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] Server (0) shutdown. Server is exiting... PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 66%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 67%] tests/distributed/test_new_kvstore.py::test_kv_store PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 11%] 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tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] 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tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 15%]/root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:32:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Sleep 5 seconds to test client re-connect. [06:32:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 5 seconds to test client re-connect. tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 15%] 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tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 23%]PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 29%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 29%] tests/pytorch/test_nn.py::test_set2set PASSED [ 29%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 29%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4530/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9460 | Accuracy 0.1520 Epoch 00001 | Loss 1.9413 | Accuracy 0.3440 Epoch 00002 | Loss 1.9358 | Accuracy 0.5020 Epoch 00003 | Loss 1.9301 | Accuracy 0.5340 Epoch 00004 | Loss 1.9197 | Accuracy 0.5340 Epoch 00005 | Loss 1.9118 | Accuracy 0.5480 Epoch 00006 | Loss 1.9043 | Accuracy 0.5640 Epoch 00007 | Loss 1.9000 | Accuracy 0.5640 Epoch 00008 | Loss 1.8874 | Accuracy 0.5620 Epoch 00009 | Loss 1.8744 | Accuracy 0.5660 Epoch 00010 | Loss 1.8697 | Accuracy 0.5700 Epoch 00011 | Loss 1.8492 | Accuracy 0.5740 Epoch 00012 | Loss 1.8422 | Accuracy 0.5980 Epoch 00013 | Loss 1.8335 | Accuracy 0.6060 Epoch 00014 | Loss 1.8198 | Accuracy 0.6260 Epoch 00015 | Loss 1.8034 | Accuracy 0.6320 Epoch 00016 | Loss 1.7982 | Accuracy 0.6380 Epoch 00017 | Loss 1.7808 | Accuracy 0.6380 Epoch 00018 | Loss 1.7624 | Accuracy 0.6720 Epoch 00019 | Loss 1.7458 | Accuracy 0.6920 Epoch 00020 | Loss 1.7422 | Accuracy 0.7060 Epoch 00021 | Loss 1.7173 | Accuracy 0.7260 Epoch 00022 | Loss 1.7240 | Accuracy 0.7440 Epoch 00023 | Loss 1.7004 | Accuracy 0.7480 Epoch 00024 | Loss 1.6789 | Accuracy 0.7400 Epoch 00025 | Loss 1.6586 | Accuracy 0.7360 Epoch 00026 | Loss 1.6201 | Accuracy 0.7380 Epoch 00027 | Loss 1.6168 | Accuracy 0.7420 Epoch 00028 | Loss 1.5872 | Accuracy 0.7440 Epoch 00029 | Loss 1.5769 | Accuracy 0.7460 Epoch 00030 | Loss 1.5643 | Accuracy 0.7460 Epoch 00031 | Loss 1.5262 | Accuracy 0.7480 Epoch 00032 | Loss 1.5090 | Accuracy 0.7460 Epoch 00033 | Loss 1.4710 | Accuracy 0.7480 Epoch 00034 | Loss 1.4863 | Accuracy 0.7440 Epoch 00035 | Loss 1.4537 | Accuracy 0.7460 Epoch 00036 | Loss 1.4124 | Accuracy 0.7460 Epoch 00037 | Loss 1.4095 | Accuracy 0.7440 Epoch 00038 | Loss 1.3675 | Accuracy 0.7460 Epoch 00039 | Loss 1.3514 | Accuracy 0.7480 Epoch 00040 | Loss 1.3315 | Accuracy 0.7540 Epoch 00041 | Loss 1.2876 | Accuracy 0.7580 Epoch 00042 | Loss 1.3075 | Accuracy 0.7520 Epoch 00043 | Loss 1.2628 | Accuracy 0.7600 Epoch 00044 | Loss 1.2559 | Accuracy 0.7580 Epoch 00045 | Loss 1.2263 | Accuracy 0.7540 Epoch 00046 | Loss 1.2070 | Accuracy 0.7480 Epoch 00047 | Loss 1.1958 | Accuracy 0.7500 Epoch 00048 | Loss 1.1990 | Accuracy 0.7580 Epoch 00049 | Loss 1.1513 | Accuracy 0.7540 Epoch 00050 | Loss 1.1600 | Accuracy 0.7500 Epoch 00051 | Loss 1.0870 | Accuracy 0.7540 Epoch 00052 | Loss 1.0983 | Accuracy 0.7560 Epoch 00053 | Loss 1.0810 | Accuracy 0.7580 Epoch 00054 | Loss 1.0450 | Accuracy 0.7600 Epoch 00055 | Loss 1.0460 | Accuracy 0.7540 Epoch 00056 | Loss 1.0625 | Accuracy 0.7560 Epoch 00057 | Loss 0.9895 | Accuracy 0.7560 Epoch 00058 | Loss 0.9844 | Accuracy 0.7580 Epoch 00059 | Loss 0.9692 | Accuracy 0.7540 Epoch 00060 | Loss 0.9577 | Accuracy 0.7560 Epoch 00061 | Loss 0.9883 | Accuracy 0.7560 Epoch 00062 | Loss 0.9158 | Accuracy 0.7600 Epoch 00063 | Loss 0.8907 | Accuracy 0.7580 Epoch 00064 | Loss 0.8635 | Accuracy 0.7600 Epoch 00065 | Loss 0.8786 | Accuracy 0.7620 Epoch 00066 | Loss 0.8763 | Accuracy 0.7600 Epoch 00067 | Loss 0.7988 | Accuracy 0.7560 Epoch 00068 | Loss 0.8200 | Accuracy 0.7600 Epoch 00069 | Loss 0.8280 | Accuracy 0.7660 Epoch 00070 | Loss 0.8345 | Accuracy 0.7680 Epoch 00071 | Loss 0.7893 | Accuracy 0.7700 Epoch 00072 | Loss 0.7685 | Accuracy 0.7720 Epoch 00073 | Loss 0.7495 | Accuracy 0.7760 Epoch 00074 | Loss 0.7493 | Accuracy 0.7760 Epoch 00075 | Loss 0.7415 | Accuracy 0.7740 Epoch 00076 | Loss 0.7366 | Accuracy 0.7740 Epoch 00077 | Loss 0.7066 | Accuracy 0.7720 Epoch 00078 | Loss 0.7103 | Accuracy 0.7720 Epoch 00079 | Loss 0.7296 | Accuracy 0.7720 Epoch 00080 | Loss 0.7225 | Accuracy 0.7780 Epoch 00081 | Loss 0.6600 | Accuracy 0.7820 Epoch 00082 | Loss 0.6900 | Accuracy 0.7840 Epoch 00083 | Loss 0.6486 | Accuracy 0.7780 Epoch 00084 | Loss 0.6548 | Accuracy 0.7800 Epoch 00085 | Loss 0.6711 | Accuracy 0.7800 Epoch 00086 | Loss 0.6633 | Accuracy 0.7800 Epoch 00087 | Loss 0.6768 | Accuracy 0.7780 Epoch 00088 | Loss 0.5960 | Accuracy 0.7860 Epoch 00089 | Loss 0.6286 | Accuracy 0.7840 Epoch 00090 | Loss 0.5957 | Accuracy 0.7920 Epoch 00091 | Loss 0.6024 | Accuracy 0.7940 Epoch 00092 | Loss 0.5786 | Accuracy 0.7940 Epoch 00093 | Loss 0.5872 | Accuracy 0.7940 Epoch 00094 | Loss 0.6097 | Accuracy 0.7920 Epoch 00095 | Loss 0.5418 | Accuracy 0.7920 Epoch 00096 | Loss 0.6008 | Accuracy 0.7880 Epoch 00097 | Loss 0.5469 | Accuracy 0.7860 Epoch 00098 | Loss 0.5980 | Accuracy 0.7880 Epoch 00099 | Loss 0.5619 | Accuracy 0.7920 Epoch 00100 | Loss 0.5444 | Accuracy 0.7960 Epoch 00101 | Loss 0.5505 | Accuracy 0.7900 Epoch 00102 | Loss 0.5696 | Accuracy 0.7880 Epoch 00103 | Loss 0.5525 | Accuracy 0.7900 Epoch 00104 | Loss 0.5660 | Accuracy 0.7880 Epoch 00105 | Loss 0.5237 | Accuracy 0.7900 Epoch 00106 | Loss 0.5392 | Accuracy 0.7940 Epoch 00107 | Loss 0.5272 | Accuracy 0.7880 Epoch 00108 | Loss 0.4940 | Accuracy 0.7860 Epoch 00109 | Loss 0.4836 | Accuracy 0.7940 Epoch 00110 | Loss 0.4754 | Accuracy 0.7940 Epoch 00111 | Loss 0.5229 | Accuracy 0.7940 Epoch 00112 | Loss 0.4894 | Accuracy 0.7920 Epoch 00113 | Loss 0.4950 | Accuracy 0.7920 Epoch 00114 | Loss 0.5007 | Accuracy 0.7940 Epoch 00115 | Loss 0.5027 | Accuracy 0.7960 Epoch 00116 | Loss 0.4765 | Accuracy 0.7960 Epoch 00117 | Loss 0.4873 | Accuracy 0.7960 Epoch 00118 | Loss 0.5083 | Accuracy 0.7940 Epoch 00119 | Loss 0.4867 | Accuracy 0.7860 Epoch 00120 | Loss 0.4375 | Accuracy 0.7920 Epoch 00121 | Loss 0.4513 | Accuracy 0.7900 Epoch 00122 | Loss 0.4839 | Accuracy 0.7900 Epoch 00123 | Loss 0.4976 | Accuracy 0.7920 Epoch 00124 | Loss 0.4474 | Accuracy 0.7900 Epoch 00125 | Loss 0.4355 | Accuracy 0.7880 Epoch 00126 | Loss 0.4305 | Accuracy 0.7860 Epoch 00127 | Loss 0.4356 | Accuracy 0.7940 Epoch 00128 | Loss 0.4620 | Accuracy 0.7920 Epoch 00129 | Loss 0.4560 | Accuracy 0.7860 Epoch 00130 | Loss 0.4433 | Accuracy 0.7860 Epoch 00131 | Loss 0.4221 | Accuracy 0.7880 Epoch 00132 | Loss 0.4199 | Accuracy 0.7860 Epoch 00133 | Loss 0.4279 | Accuracy 0.7860 Epoch 00134 | Loss 0.4724 | Accuracy 0.7860 Epoch 00135 | Loss 0.4531 | Accuracy 0.7900 Epoch 00136 | Loss 0.4730 | Accuracy 0.7900 Epoch 00137 | Loss 0.4074 | Accuracy 0.7920 Epoch 00138 | Loss 0.3964 | Accuracy 0.7920 Epoch 00139 | Loss 0.4067 | Accuracy 0.7900 Epoch 00140 | Loss 0.4009 | Accuracy 0.7920 Epoch 00141 | Loss 0.3917 | Accuracy 0.7960 Epoch 00142 | Loss 0.4292 | Accuracy 0.7980 Epoch 00143 | Loss 0.3918 | Accuracy 0.7940 Epoch 00144 | Loss 0.4118 | Accuracy 0.7940 Epoch 00145 | Loss 0.3951 | Accuracy 0.7940 Epoch 00146 | Loss 0.4273 | Accuracy 0.7900 Epoch 00147 | Loss 0.4193 | Accuracy 0.7880 Epoch 00148 | Loss 0.4016 | Accuracy 0.7880 Epoch 00149 | Loss 0.4028 | Accuracy 0.7900 Epoch 00150 | Loss 0.3942 | Accuracy 0.7920 Epoch 00151 | Loss 0.4035 | Accuracy 0.7940 Epoch 00152 | Loss 0.3913 | Accuracy 0.7940 Epoch 00153 | Loss 0.4002 | Accuracy 0.7920 Epoch 00154 | Loss 0.4095 | Accuracy 0.7880 Epoch 00155 | Loss 0.3917 | Accuracy 0.7900 Epoch 00156 | Loss 0.3609 | Accuracy 0.7940 Epoch 00157 | Loss 0.3664 | Accuracy 0.7940 Epoch 00158 | Loss 0.3666 | Accuracy 0.7880 Epoch 00159 | Loss 0.3533 | Accuracy 0.7900 Epoch 00160 | Loss 0.4176 | Accuracy 0.7880 Epoch 00161 | Loss 0.3393 | Accuracy 0.7860 Epoch 00162 | Loss 0.3895 | Accuracy 0.7800 Epoch 00163 | Loss 0.3572 | Accuracy 0.7840 Epoch 00164 | Loss 0.3704 | Accuracy 0.7940 Epoch 00165 | Loss 0.3801 | Accuracy 0.7920 Epoch 00166 | Loss 0.3712 | Accuracy 0.7920 Epoch 00167 | Loss 0.3140 | Accuracy 0.7920 Epoch 00168 | Loss 0.3560 | Accuracy 0.7940 Epoch 00169 | Loss 0.3451 | Accuracy 0.7960 Epoch 00170 | Loss 0.3543 | Accuracy 0.7960 Epoch 00171 | Loss 0.3909 | Accuracy 0.7920 Epoch 00172 | Loss 0.3494 | Accuracy 0.7880 Epoch 00173 | Loss 0.3315 | Accuracy 0.7860 Epoch 00174 | Loss 0.3630 | Accuracy 0.7840 Epoch 00175 | Loss 0.3251 | Accuracy 0.7820 Epoch 00176 | Loss 0.3562 | Accuracy 0.7820 Epoch 00177 | Loss 0.3742 | Accuracy 0.7880 Epoch 00178 | Loss 0.3421 | Accuracy 0.7860 Epoch 00179 | Loss 0.3353 | Accuracy 0.7840 Epoch 00180 | Loss 0.3717 | Accuracy 0.7880 Epoch 00181 | Loss 0.3699 | Accuracy 0.7940 Epoch 00182 | Loss 0.3846 | Accuracy 0.7940 Epoch 00183 | Loss 0.3413 | Accuracy 0.7940 Epoch 00184 | Loss 0.3557 | Accuracy 0.7980 Epoch 00185 | Loss 0.3566 | Accuracy 0.8020 Epoch 00186 | Loss 0.3238 | Accuracy 0.7960 Epoch 00187 | Loss 0.3607 | Accuracy 0.8000 Epoch 00188 | Loss 0.3205 | Accuracy 0.7920 Epoch 00189 | Loss 0.3419 | Accuracy 0.7920 Epoch 00190 | Loss 0.3378 | Accuracy 0.7900 Epoch 00191 | Loss 0.3820 | Accuracy 0.7840 Epoch 00192 | Loss 0.3426 | Accuracy 0.7860 Epoch 00193 | Loss 0.3583 | Accuracy 0.7920 Epoch 00194 | Loss 0.3249 | Accuracy 0.7920 Epoch 00195 | Loss 0.3529 | Accuracy 0.7940 Epoch 00196 | Loss 0.3346 | Accuracy 0.8000 Epoch 00197 | Loss 0.3435 | Accuracy 0.7980 Epoch 00198 | Loss 0.3039 | Accuracy 0.7980 Epoch 00199 | Loss 0.3305 | Accuracy 0.7940 Testing... Test accuracy 0.7940 PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] lda/lda_model.py:38: UserWarning: cached_property not found - using property instead warnings.warn("cached_property not found - using property instead") Testing LatentDirichletAllocation ... {'prior': {'doc': 0.1, 'word': 0.1}, 'rho': 1, 'mult': {'doc': 1, 'word': 1}, 'init': {'doc': (100.0, 100.0), 'word': (100.0, 100.0)}, 'word_data': [tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1490e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 3e578fcb443ee55159c279e1f25a75262e2bff58fd94da2c6c5a9d7ef20efbe0 PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] $ docker rm -f 3e578fcb443ee55159c279e1f25a75262e2bff58fd94da2c6c5a9d7ef20efbe0 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] [06:32:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22456]... [06:32:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:45] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22455]... [Pipeline] // withDockerContainer PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4530 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] Cleaning workspace Fetching without tags PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 Client [3517] waits on 172.17.0.3:39873Client [3518] waits on 172.17.0.3:44049 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! ['data_0_2', 'data_2', 'data_0_3', 'data_0_1', 'data_0', 'data_1'] ['data_0_1', 'data_0_3', 'data_0_2', 'data_2', 'data_0', 'data_1'] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] add... PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:72e8cb2632449beac4895f24b55018dea21f79da47fe39be05ef83a4fd3ddb67 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 33%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 cat add... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] $ docker top fcc4468c731d33488dd46c66494a4a5dbfbb783be23bb2cf1bb35b794834844d -eo pid,comm [Pipeline] { PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Unit test) [Pipeline] sh PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] + nvidia-smi Tue Oct 18 06:32:52 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 45C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@3aabbbb8; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] Server (0) shutdown.Server (1) shutdown. Server is exiting...Server is exiting... PASSED [ 69%] tests/distributed/test_new_kvstore.py::test_kv_multi_role Fetching without tags PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] [Pipeline] sh PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19108]... /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:53] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19109]... PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] [06:32:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:54] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[06:32:54] 06:32:54/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140140: : Sender with NetType~Sender with NetType~socketsocket is created. is created. [[06:32:5406:32:54] ] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc::159159: : Receiver with NetType~Receiver with NetType~socketsocket is created. is created. [06:32:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:32:55] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED 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tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 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tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] Client [3555] waits on 172.17.0.3:60543Client [3566] waits on 172.17.0.3:59535 Client [3569] waits on 172.17.0.3:47727Client [3570] waits on 172.17.0.3:58081 Client [3567] waits on 172.17.0.3:35511 Client [3553] waits on 172.17.0.3:42681 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 50%] 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tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 52%]PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 53%] 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tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 54%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] [06:33:04] /root/jenkins/workspace/dgl_PR-4530/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 5000 milliseconds. [06:33:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 5000 milliseconds. [06:33:04] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 0 role: default trainer rank: 0, global rank: 0 Client[1] in group[0] is exiting... i: 1 role: default trainer rank: 1, global rank: 1 Client[5] in group[0] is exiting... Client[4] in group[0] is exiting... Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 55%] tests/pytorch/test_nn.py::test_sequential PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] Server (1) shutdown. Server is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 57%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 58%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 70%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.830 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.830 GB Calculate edge assignment: 0.000 seconds part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.830 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.830 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 8 parts and get 142 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.830 GB Save partitions: 0.001 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.830 GB Calculate edge assignment: 0.000 seconds part 0 has 594 nodes and 247 are inside the partition part 0 has 510 edges and 214 are inside the partition part 1 has 644 nodes and 259 are inside the partition part 1 has 597 edges and 257 are inside the partition part 2 has 625 nodes and 252 are inside the partition part 2 has 591 edges and 273 are inside the partition part 3 has 614 nodes and 242 are inside the partition part 3 has 573 edges and 256 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.830 GB part 0 has 603 nodes and 241 are inside the partition part 0 has 576 edges and 265 are inside the partition part 1 has 617 nodes and 246 are inside the partition part 1 has 548 edges and 239 are inside the partition part 2 has 622 nodes and 256 are inside the partition part 2 has 555 edges and 249 are inside the partition part 3 has 626 nodes and 257 are inside the partition part 3 has 573 edges and 247 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.830 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.830 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 72%] tests/distributed/test_partition.py::test_hetero_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 2 parts and get 197 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.830 GB part 0 has 1058 nodes of type item and 972 are inside the partition part 0 has 584 nodes of type user and 485 are inside the partition part 0 has 1516 edges of type like and 1428 are inside the partition part 1 has 1129 nodes of type item and 1027 are inside the partition part 1 has 593 nodes of type user and 515 are inside the partition part 1 has 1681 edges of type like and 1572 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.830 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 8 parts and get 495 edge cuts Metis partitioning: 0.008 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.009s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.830 GB part 0 has 1124 nodes of type item and 981 are inside the partition part 0 has 605 nodes of type user and 497 are inside the partition part 0 has 1606 edges of type like and 1452 are inside the partition part 1 has 1139 nodes of type item and 1019 are inside the partition part 1 has 633 nodes of type user and 502 are inside the partition part 1 has 1679 edges of type like and 1548 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.830 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 4 parts and get 336 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 295 nodes of type n1 and 248 are inside the partition part 0 has 306 nodes of type n2 and 252 are inside the partition part 0 has 312 nodes of type n3 and 258 are inside the partition part 0 has 284 edges of type r1 and 255 are inside the partition part 0 has 265 edges of type r2 and 240 are inside the partition part 0 has 275 edges of type r3 and 244 are inside the partition part 1 has 316 nodes of type n1 and 257 are inside the partition part 1 has 317 nodes of type n2 and 257 are inside the partition part 1 has 321 nodes of type n3 and 262 are inside the partition part 1 has 274 edges of type r1 and 247 are inside the partition part 1 has 305 edges of type r2 and 277 are inside the partition part 1 has 320 edges of type r3 and 287 are inside the partition part 2 has 307 nodes of type n1 and 257 are inside the partition part 2 has 315 nodes of type n2 and 259 are inside the partition part 2 has 323 nodes of type n3 and 261 are inside the partition part 2 has 272 edges of type r1 and 250 are inside the partition part 2 has 325 edges of type r2 and 291 are inside the partition part 2 has 289 edges of type r3 and 259 are inside the partition part 3 has 288 nodes of type n1 and 238 are inside the partition part 3 has 293 nodes of type n2 and 242 are inside the partition part 3 has 288 nodes of type n3 and 239 are inside the partition part 3 has 286 edges of type r1 and 258 are inside the partition part 3 has 234 edges of type r2 and 212 are inside the partition part 3 has 267 edges of type r3 and 240 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.830 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 8 parts and get 443 edge cuts Metis partitioning: 0.008 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.010s, peak mem: 1.830 GB Save partitions: 0.002 seconds, peak memory: 1.830 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:08] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 32 parts and get 794 edge cuts Metis partitioning: 0.030 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.031s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 329 nodes of type n1 and 248 are inside the partition part 0 has 317 nodes of type n2 and 249 are inside the partition part 0 has 334 nodes of type n3 and 255 are inside the partition part 0 has 262 edges of type r1 and 227 are inside the partition part 0 has 302 edges of type r2 and 264 are inside the partition part 0 has 303 edges of type r3 and 257 are inside the partition part 1 has 324 nodes of type n1 and 248 are inside the partition part 1 has 343 nodes of type n2 and 252 are inside the partition part 1 has 347 nodes of type n3 and 255 are inside the partition part 1 has 310 edges of type r1 and 262 are inside the partition part 1 has 321 edges of type r2 and 270 are inside the partition part 1 has 316 edges of type r3 and 267 are inside the partition part 2 has 335 nodes of type n1 and 256 are inside the partition part 2 has 328 nodes of type n2 and 254 are inside the partition part 2 has 352 nodes of type n3 and 255 are inside the partition part 2 has 310 edges of type r1 and 277 are inside the partition part 2 has 274 edges of type r2 and 227 are inside the partition part 2 has 291 edges of type r3 and 238 are inside the partition part 3 has 328 nodes of type n1 and 248 are inside the partition part 3 has 339 nodes of type n2 and 255 are inside the partition part 3 has 351 nodes of type n3 and 255 are inside the partition part 3 has 283 edges of type r1 and 244 are inside the partition part 3 has 314 edges of type r2 and 259 are inside the partition part 3 has 320 edges of type r3 and 268 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.830 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.830 GB part 0 has 569 nodes of type n1 and 248 are inside the partition part 0 has 565 nodes of type n2 and 298 are inside the partition part 0 has 593 nodes of type n3 and 253 are inside the partition part 0 has 486 edges of type r1 and 308 are inside the partition part 0 has 441 edges of type r2 and 237 are inside the partition part 0 has 477 edges of type r3 and 243 are inside the partition part 1 has 553 nodes of type n1 and 267 are inside the partition part 1 has 548 nodes of type n2 and 233 are inside the partition part 1 has 564 nodes of type n3 and 246 are inside the partition part 1 has 434 edges of type r1 and 227 are inside the partition part 1 has 484 edges of type r2 and 262 are inside the partition part 1 has 449 edges of type r3 and 257 are inside the partition part 2 has 530 nodes of type n1 and 236 are inside the partition part 2 has 543 nodes of type n2 and 243 are inside the partition part 2 has 542 nodes of type n3 and 261 are inside the partition part 2 has 403 edges of type r1 and 229 are inside the partition part 2 has 434 edges of type r2 and 249 are inside the partition part 2 has 426 edges of type r3 and 250 are inside the partition part 3 has 552 nodes of type n1 and 249 are inside the partition part 3 has 554 nodes of type n2 and 236 are inside the partition part 3 has 547 nodes of type n3 and 260 are inside the partition part 3 has 430 edges of type r1 and 246 are inside the partition part 3 has 448 edges of type r2 and 272 are inside the partition part 3 has 460 edges of type r3 and 280 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.830 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.830 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.830 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.830 GB [06:33:09] /root/jenkins/workspace/dgl_PR-4530/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 32 parts and get 794 edge cuts Metis partitioning: 0.030 seconds, peak memory: 1.830 GB Assigning nodes to METIS partitions takes 0.032s, peak mem: 1.830 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.830 GB part 0 has 329 nodes of type n1 and 248 are inside the partition part 0 has 317 nodes of type n2 and 249 are inside the partition part 0 has 334 nodes of type n3 and 255 are inside the partition part 0 has 262 edges of type r1 and 227 are inside the partition part 0 has 302 edges of type r2 and 264 are inside the partition part 0 has 303 edges of type r3 and 257 are inside the partition part 1 has 324 nodes of type n1 and 248 are inside the partition part 1 has 343 nodes of type n2 and 252 are inside the partition part 1 has 347 nodes of type n3 and 255 are inside the partition part 1 has 310 edges of type r1 and 262 are inside the partition part 1 has 321 edges of type r2 and 270 are inside the partition part 1 has 316 edges of type r3 and 267 are inside the partition part 2 has 335 nodes of type n1 and 256 are inside the partition part 2 has 328 nodes of type n2 and 254 are inside the partition part 2 has 352 nodes of type n3 and 255 are inside the partition part 2 has 310 edges of type r1 and 277 are inside the partition part 2 has 274 edges of type r2 and 227 are inside the partition part 2 has 291 edges of type r3 and 238 are inside the partition part 3 has 328 nodes of type n1 and 248 are inside the partition part 3 has 339 nodes of type n2 and 255 are inside the partition part 3 has 351 nodes of type n3 and 255 are inside the partition part 3 has 283 edges of type r1 and 244 are inside the partition part 3 has 314 edges of type r2 and 259 are inside the partition part 3 has 320 edges of type r3 and 268 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.830 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 PASSED [ 73%] tests/distributed/test_partition.py::test_BasicPartitionBook PASSED [ 75%] tests/distributed/test_partition.py::test_RangePartitionBook PASSED [ 76%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] Sleep 1 seconds to test client re-connect. [06:33:10] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:10] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int32] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] Start server 0 [06:33:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24857]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int32] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] Client [3642] waits on 172.17.0.3:53935 Machine (0) group (0) client (0) connect to server successfuly! [06:33:16] /root/jenkins/workspace/dgl_PR-4530/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [06:33:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:33:16] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] [06:33:17] /root/jenkins/workspace/dgl_PR-4530/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [06:33:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:33:17] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] [06:33:18] /root/jenkins/workspace/dgl_PR-4530/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [06:33:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:33:18] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] [06:33:21] /root/jenkins/workspace/dgl_PR-4530/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [06:33:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:33:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] Server (0) shutdown. Server is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... PASSED [ 77%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' [06:33:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21954]. Sleep 1 seconds to test client re-connect. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Start server 0 [06:33:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:21954]... [06:33:26] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:21954]. Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... [06:33:28] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:44883]. Client [3662] waits on 172.17.0.3:44883 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... [06:33:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [06:33:31] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] [06:33:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [06:33:32] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] [06:33:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [06:33:33] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] [06:33:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [06:33:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] Server (0) shutdown. Server is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 79%] tests/distributed/test_rpc.py::test_serialize PASSED [ 80%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 82%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] [06:33:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:15329]. Sleep 1 seconds to test client re-connect. PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] Start server 0 [06:33:41] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:41] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:15329]... [06:33:41] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:15329]. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython SKIPPED (Cython only works on...) [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] [06:33:43] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:34251]. Client [3684] waits on 172.17.0.3:34251 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cugraph-linux [Pipeline] timeout Timeout set to expire in 15 min [Pipeline] { PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] [Pipeline] sh + bash tests/scripts/cugraph_unit_test.sh pytorch PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] Collecting pytest Downloading pytest-7.1.3-py3-none-any.whl (298 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.2/298.2 kB 9.7 MB/s eta 0:00:00 Requirement already satisfied: psutil in /opt/conda/lib/python3.9/site-packages (5.9.2) Requirement already satisfied: pyyaml in /opt/conda/lib/python3.9/site-packages (6.0) PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] Collecting pydantic Downloading pydantic-1.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.2/13.2 MB 111.0 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/lib/python3.9/site-packages (1.4.4) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 67.1 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 18.0 MB/s eta 0:00:00 Collecting attrs>=19.2.0 Downloading attrs-22.1.0-py2.py3-none-any.whl (58 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.8/58.8 kB 15.5 MB/s eta 0:00:00 PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] Collecting tomli>=1.0.0 Downloading tomli-2.0.1-py3-none-any.whl (12 kB) Collecting iniconfig Downloading iniconfig-1.1.1-py2.py3-none-any.whl (5.0 kB) Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] Collecting pluggy<2.0,>=0.12 Downloading pluggy-1.0.0-py2.py3-none-any.whl (13 kB) Collecting py>=1.8.2 Downloading py-1.11.0-py2.py3-none-any.whl (98 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.7/98.7 kB 19.9 MB/s eta 0:00:00 Requirement already satisfied: packaging in /opt/conda/lib/python3.9/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/lib/python3.9/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.8.1 in /opt/conda/lib/python3.9/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.9/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.18.5 in /opt/conda/lib/python3.9/site-packages (from pandas) (1.22.4) Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.9 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/lib/python3.9/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/lib/python3.9/site-packages (from rdflib) (65.3.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (4.64.1) Collecting outdated>=0.2.0 Downloading outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.26.11) Requirement already satisfied: torch>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.12.0) Requirement already satisfied: six>=1.12.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.16.0) Collecting scikit-learn>=0.20.0 Downloading scikit_learn-1.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.8 MB) PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.8/30.8 MB 71.9 MB/s eta 0:00:00 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] Collecting littleutils Downloading littleutils-0.2.2.tar.gz (6.6 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: requests in /opt/conda/lib/python3.9/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: joblib>=1.0.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.20.0->ogb) (1.2.0) Requirement already satisfied: scipy>=1.3.2 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.20.0->ogb) (1.9.1) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.1) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (2022.9.14) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Building wheels for collected packages: littleutils Building wheel for littleutils (setup.py): started [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [[06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:06:33:49] 140/root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc: :Sender with NetType~socket is created. 140: Sender with NetType~socket is created.[ 06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~[socket06:33:49 is created.] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:49] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Building wheel for littleutils (setup.py): finished with status 'done' Created wheel for littleutils: filename=littleutils-0.2.2-py3-none-any.whl size=7028 sha256=da7926ae70e27e48ff5137a5f559fe9e56770424a4d9dfedd75e29dc2595db08 Stored in directory: /root/.cache/pip/wheels/04/bb/0d/2d02ec45f29c48d6192476bfb59c5a0e64b605e7212374dd15 Successfully built littleutils Installing collected packages: littleutils, iniconfig, tomli, threadpoolctl, pydantic, py, pluggy, isodate, attrs, scikit-learn, rdflib, pytest, outdated, ogb PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] Start server 0 [06:33:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:33:50] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22130]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] Successfully installed attrs-22.1.0 iniconfig-1.1.1 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pluggy-1.0.0 py-1.11.0 pydantic-1.10.2 pytest-7.1.3 rdflib-6.2.0 scikit-learn-1.1.2 threadpoolctl-3.1.0 tomli-2.0.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.9.13, pytest-7.1.3, pluggy-1.0.0 -- /opt/conda/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] Client [3729] waits on 172.17.0.3:57341Client [3703] waits on 172.17.0.3:39239Client [3712] waits on 172.17.0.3:56135 Client [3738] waits on 172.17.0.3:58479 Client [3702] waits on 172.17.0.3:37443Client [3709] waits on 172.17.0.3:37263 Client [3743] waits on 172.17.0.3:33163Client [3710] waits on 172.17.0.3:33545 Client [3706] waits on 172.17.0.3:39703 Client [3730] waits on 172.17.0.3:40339 Client [3705] waits on 172.17.0.3:55061 Client [3708] waits on 172.17.0.3:50203 Machine (0) group (0) client (4) connect to server successfuly! Client [3722] waits on 172.17.0.3:35131 Client [3716] waits on 172.17.0.3:48129Client [3707] waits on 172.17.0.3:40411 Client [3714] waits on 172.17.0.3:55375 Client [3713] waits on 172.17.0.3:50501Client [3711] waits on 172.17.0.3:57991 Client [3731] waits on 172.17.0.3:51833 Machine (0) group (0) client (6) connect to server successfuly!Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly!Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Client [3704] waits on 172.17.0.3:49303 Machine (0) group (0) client (10) connect to server successfuly! PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] Client[11] in group[0] is exiting... Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... Client[17] in group[0] is exiting... Client[4] in group[0] is exiting... Client[5] in group[0] is exiting... Client[12] in group[0] is exiting... Client[6] in group[0] is exiting... Client[14] in group[0] is exiting... Client[9] in group[0] is exiting... Client[19] in group[0] is exiting... Client[8] in group[0] is exiting... Client[18] in group[0] is exiting... Client[15] in group[0] is exiting... Client[16] in group[0] is exiting... Client[3] in group[0] is exiting... Client[7] in group[0] is exiting... Client[0] in group[0] is exiting... Client[13] in group[0] is exiting... Client[10] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 85%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] PASSED [ 58%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 58%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 59%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 59%] tests/pytorch/test_nn.py::test_twirls PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 59%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 59%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 59%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 59%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 59%]PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g0] [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. Sleep 1 seconds to test client re-connect. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [[06:33:58] 06:33:58/root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc] :/root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:3737: : Failed to connect to receiver[Failed to connect to receiver[tcp://172.17.0.3:21641tcp://172.17.0.3:21641].]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:58] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21641]. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] Start server 0 [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:21641]... [06:33:59] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:21641]. PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:52049]. Client [3853] waits on 172.17.0.3:52049 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:45879]. Client [3857] waits on 172.17.0.3:45879 PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:49511]. Client [3854] waits on 172.17.0.3:49511 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:55889]. [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:51677]. Client [3852] waits on 172.17.0.3:55889 Client [3862] waits on 172.17.0.3:51677 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:59043]. Client [3858] waits on 172.17.0.3:59043 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:34887]. Client [3855] waits on 172.17.0.3:34887 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:58051]. [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:56601]. Client [3859] waits on 172.17.0.3:56601Client [3864] waits on 172.17.0.3:58051 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:51917]. Client [3851] waits on 172.17.0.3:51917 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:46937]. Client [3889] waits on 172.17.0.3:46937 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:39819]. Client [3856] waits on 172.17.0.3:39819 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:57415]. [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:32779]. Client [3880] waits on 172.17.0.3:57415 Client [3867] waits on 172.17.0.3:32779 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:41893]. Client [3876] waits on 172.17.0.3:41893 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:50459]. Client [3860] waits on 172.17.0.3:50459 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:42225]. Client [3883] waits on 172.17.0.3:42225 PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:46287]. Client [3869] waits on 172.17.0.3:46287 [06:34:01] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:45463]. Client [3892] waits on 172.17.0.3:45463 [06:34:02] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:39043]. Client [3886] waits on 172.17.0.3:39043 PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%]PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] collected 3 items tests/cugraph/test_basics.py::test_dummy PASSED [ 33%] tests/cugraph/test_basics.py::test_to_cugraph_conversion tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) 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PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED 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tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] 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tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly!Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly!Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly!Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly!Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] Client[4] in group[0] is exiting... Client[7] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] Client[6] in group[0] is exiting... Client[14] in group[0] is exiting... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] Client[8] in group[0] is exiting... Client[13] in group[0] is exiting... Client[10] in group[0] is exiting... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] Client[2] in group[0] is exiting... Client[12] in group[0] is exiting... Client[1] in group[0] is exiting... Client[5] in group[0] is exiting... Client[0] in group[0] is exiting... Client[17] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] Client[15] in group[0] is exiting... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] Client[11] in group[0] is exiting... Client[16] in group[0] is exiting... Client[19] in group[0] is exiting... Client[9] in group[0] is exiting... Client[18] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 86%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [06:34:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:11] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] Start server 1 [06:34:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:16867]... Start server 0 [06:34:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:13] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:16865]... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/cugraph/test_basics.py::test_from_cugraph_conversion PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1817 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/backend.py:1817: DeprecationWarning: invalid escape sequence \P """Segment reduction operator. python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/lib/python3.9/site-packages/dask_cudf/core.py:33 /opt/conda/lib/python3.9/site-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. DASK_VERSION = LooseVersion(dask.__version__) ../../../../opt/conda/lib/python3.9/site-packages/setuptools/_distutils/version.py:346: 34 warnings /opt/conda/lib/python3.9/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 12.58s call tests/cugraph/test_basics.py::test_to_cugraph_conversion 0.05s call tests/cugraph/test_basics.py::test_from_cugraph_conversion (7 durations < 0.005s hidden. Use -vv to show these durations.) ======================= 3 passed, 44 warnings in 21.13s ======================== [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 fcc4468c731d33488dd46c66494a4a5dbfbb783be23bb2cf1bb35b794834844d PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] $ docker rm -f fcc4468c731d33488dd46c66494a4a5dbfbb783be23bb2cf1bb35b794834844d PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4530 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] Client [1089] waits on 172.17.0.3:33455 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] Cleaning workspace Fetching without tags PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 88%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [06:34:19] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:19] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:34:19] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:18748]. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] [Pipeline] withEnv [Pipeline] { > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix PASSED [ 65%] tests/pytorch/test_[Pipeline] withEnvnn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] [Pipeline] { PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] [Pipeline] sh Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] + docker pull dgllib/dgl-ci-gpu:cu101_v220816 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] Start server 1 Start server 0 [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:18750]... [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:18750]. [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:18748]... [06:34:21] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:18748]. cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4530 -v /root/jenkins/workspace/dgl_PR-4530:/root/jenkins/workspace/dgl_PR-4530:rw,z -v /root/jenkins/workspace/dgl_PR-4530@tmp:/root/jenkins/workspace/dgl_PR-4530@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat [06:34:22] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:57895]. Client [1089] waits on 172.17.0.3:57895 PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] $ docker top e2073f98b34a2381d357cd5c93542f80c89a7217a1c18bd6dab4dd082fea4ec1 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] [Pipeline] sh PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] + nvidia-smi Tue Oct 18 06:34:23 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 42C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@79070179; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] Fetching without tags PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] [Pipeline] sh PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS'... tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dlpack'... PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 89%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 91%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [06:34:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:25] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/dmlc-core'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/googletest'... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%]PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/libxsmm'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] Expected error: Failed to build conncetion with peer after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] [06:34:29] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:29] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 69%]PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] Start server 0 [06:34:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [06:34:30] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12339]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] 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tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] Client [4027] waits on 172.17.0.3:58861 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [06:34:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:34:36] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:29960]. Expected error: Failed to build conncetion with peer[172.17.0.3:29960] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] Sleep 1 seconds to test client re-connect. [06:34:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [06:34:37] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:29960]. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] Start server 0 [06:34:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [06:34:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:29960]... [06:34:38] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:29960]. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] [06:34:40] /root/jenkins/workspace/dgl_PR-4530/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:60683]. Client [4043] waits on 172.17.0.3:60683 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 38%]PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] 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tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%]PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 94%] tests/distributed/test_shared_mem_store.py::test_init SKIPPED (skip ...) [ 95%] tests/distributed/test_shared_mem_store.py::test_compute SKIPPED (sk...) [ 97%] tests/distributed/test_shared_mem_store.py::test_sync_barrier SKIPPED [ 98%] tests/distributed/test_shared_mem_store.py::test_copy_shared_mem SKIPPED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/distributed/test_dist_graph_store.py: 5 warnings tests/distributed/test_dist_tensor.py: 1 warning tests/distributed/test_distributed_sampling.py: 9 warnings tests/distributed/test_mp_dataloader.py: 1 warning tests/distributed/test_partition.py: 3 warnings /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." tests/distributed/test_dist_graph_store.py::test_split[True] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) return torch.floor_divide(self, other) tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/heterograph.py:6168: DGLWarning: DGLGraph.readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.readonly is deprecated in v0.5.\n' tests/distributed/test_distributed_sampling.py::test_standalone_sampling tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] tests/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/distributed/partition.py:616: DGLWarning: The argument reshuffle will be deprecated in the next release. For heterogeneous graphs, reshuffle must be enabled. dgl_warning("The argument reshuffle will be deprecated in the next release. " tests/distributed/test_distributed_sampling.py::test_standalone_sampling tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] tests/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/backend/pytorch/tensor.py:344: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). mask = th.tensor(mask, dtype=th.bool) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4530@4/pytest_distributed.xml - ============================ slowest 100 durations ============================= 71.54s call tests/distributed/test_dist_graph_store.py::test_server_client 59.36s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 55.35s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 39.44s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 38.58s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 38.40s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 31.23s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 30.82s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 30.41s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 15.71s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 15.60s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 15.37s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-4] 15.30s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 15.29s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 14.44s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 14.22s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 14.09s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 13.59s call tests/distributed/test_new_kvstore.py::test_kv_store 12.45s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] 12.42s call tests/distributed/test_dist_graph_store.py::test_split[True] 12.12s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] 12.01s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] 11.93s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 11.07s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 10.95s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-4] 10.43s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-1] 10.31s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-4] 9.77s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-1] 9.47s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 9.38s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-4] 9.28s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] 9.27s call tests/distributed/test_rpc.py::test_multi_client[socket] 9.20s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] 8.29s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] 8.29s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-1] 8.21s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 8.19s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 8.17s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] 8.05s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-1] 7.50s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 6.50s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 6.40s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 6.31s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-4] 6.05s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-4] 5.49s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-1] 5.33s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 5.20s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-1] 1.00s call tests/distributed/test_dist_graph_store.py::test_split[False] 0.45s call tests/distributed/test_partition.py::test_hetero_partition 0.34s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.30s call tests/distributed/test_distributed_sampling.py::test_standalone_sampling 0.27s call tests/distributed/test_dist_graph_store.py::test_split_even 0.27s call tests/distributed/test_mp_dataloader.py::test_standalone 0.26s call tests/distributed/test_partition.py::test_partition 0.13s call tests/distributed/test_dist_graph_store.py::test_standalone 0.06s call tests/distributed/test_dist_graph_store.py::test_standalone_node_emb 0.04s teardown tests/distributed/test_dist_tensor.py::test_op 0.03s setup tests/distributed/test_dist_tensor.py::test_op 0.01s call tests/distributed/test_dist_tensor.py::test_op (41 durations < 0.005s hidden. Use -vv to show these durations.) ============ 62 passed, 6 skipped, 51 warnings in 791.81s (0:13:11) ============ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@4 collecting ... PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 44%]PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%]PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] collected 37 items tests/tools/test_dist_part.py::test_chunk_graph[1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] Done with creating chunked graph PASSED [ 2%] tests/tools/test_dist_part.py::test_chunk_graph[8] Done with creating chunked graph PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 5%] tests/tools/test_dist_part.py::test_part_pipeline[1-1] Done with creating chunked graph PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 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tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%]PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 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tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] INFO:root:Changing directory to /tmp/tmp4extqxkv/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 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tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 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PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%]/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp4extqxkv/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp4extqxkv/parted_data --input-dir /tmp/tmp4extqxkv/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp4extqxkv/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp4extqxkv/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp4extqxkv/parted_data --input-dir /tmp/tmp4extqxkv/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp4extqxkv/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.1' (ECDSA) to the list of known hosts. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] DGL backend not selected or invalid. Assuming PyTorch for now. [8671a25bb4ef INFO 2022-10-18 06:34:51,282 PID:4097] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:34:51,283 PID:4097] Rank 0: Completed store-based barrier for 1 nodes. [8671a25bb4ef INFO 2022-10-18 06:34:51,283 PID:4097] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:34:51,283 PID:4097] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:34:51,284 PID:4097] [Rank: 0] Reading file: /tmp/tmp4extqxkv/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,307 PID:4097] [Rank: 0] Reading file: /tmp/tmp4extqxkv/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,327 PID:4097] [Rank: 0] Reading file: /tmp/tmp4extqxkv/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,341 PID:4097] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:34:51,341 PID:4097] Loading node feature[feat] of ntype[paper] from /tmp/tmp4extqxkv/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,345 PID:4097] Loading node feature[label] of ntype[paper] from /tmp/tmp4extqxkv/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,346 PID:4097] Loading node feature[year] of ntype[paper] from /tmp/tmp4extqxkv/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,346 PID:4097] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4extqxkv/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,347 PID:4097] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [8671a25bb4ef INFO 2022-10-18 06:34:51,347 PID:4097] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:51,347 PID:4097] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:51,347 PID:4097] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:51,347 PID:4097] Loading numpy from /tmp/tmp4extqxkv/chunked-data/edge_data/paper:cites:paper/count-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,348 PID:4097] Loading numpy from /tmp/tmp4extqxkv/chunked-data/edge_data/author:writes:paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,348 PID:4097] Loading numpy from /tmp/tmp4extqxkv/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:51,349 PID:4097] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,349 PID:4097] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,349 PID:4097] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,349 PID:4097] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4extqxkv/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,359 PID:4097] Loading edges of etype[author:writes:paper] from /tmp/tmp4extqxkv/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,369 PID:4097] Loading edges of etype[paper:cites:paper] from /tmp/tmp4extqxkv/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,381 PID:4097] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4extqxkv/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:34:51,391 PID:4097] [Rank: 0] Done reading edge_file: 4, (50400,) [8671a25bb4ef INFO 2022-10-18 06:34:51,392 PID:4097] [Rank: 0] Done reading dataset deom /tmp/tmp4extqxkv/chunked-data PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] [8671a25bb4ef INFO 2022-10-18 06:34:51,484 PID:4097] [Rank: 0] Done augmenting edge_data: 6, (50400,) [8671a25bb4ef INFO 2022-10-18 06:34:51,484 PID:4097] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:34:51,485 PID:4097] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:34:51,486 PID:4097] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:34:51,488 PID:4097] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:34:51,490 PID:4097] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:34:51,492 PID:4097] [Rank: 0] Total time for node feature exchange: 0:00:00.007625 [8671a25bb4ef INFO 2022-10-18 06:34:51,493 PID:4097] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:34:51,493 PID:4097] [Rank: 0] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:34:51,504 PID:4097] [Rank: 0] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:34:51,517 PID:4097] [Rank: 0] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:34:51,541 PID:4097] [Rank: 0] Total time for node feature exchange: 0:00:00.048124 [8671a25bb4ef INFO 2022-10-18 06:34:51,541 PID:4097] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:34:51,623 PID:4097] [Rank: 0] Time to send/rcv edge data: 0:00:00.014025 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] [8671a25bb4ef INFO 2022-10-18 06:34:51,674 PID:4097] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:34:51,711 PID:4097] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:34:51,711 PID:4097] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:34:51,761 PID:4097] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:34:51,785 PID:4097] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,785 PID:4097] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,785 PID:4097] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:34:51,854 PID:4097] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] [8671a25bb4ef INFO 2022-10-18 06:34:52,193 PID:4097] There are 50400 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:34:52,277 PID:4097] [Rank: 0] Time to create dgl objects: 0:00:00.422712 [8671a25bb4ef INFO 2022-10-18 06:34:52,278 PID:4097] [Rank: 0] Total execution time of the program: 0:00:00.995076 [8671a25bb4ef INFO 2022-10-18 06:34:52,279 PID:4097] [Rank: 0] Done with Distributed data processing pipeline processing. Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase) [Rank: 0 Edge data is already sorted !!! PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 8%] tests/tools/test_dist_part.py::test_part_pipeline[1-2] Done with creating chunked graph PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%]PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] INFO:root:Changing directory to /tmp/tmp5ojdivar/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm'... tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%]PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp5ojdivar/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp5ojdivar/parted_data --input-dir /tmp/tmp5ojdivar/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp5ojdivar/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp5ojdivar/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp5ojdivar/parted_data --input-dir /tmp/tmp5ojdivar/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp5ojdivar/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 76%]PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] [8671a25bb4ef INFO 2022-10-18 06:34:56,950 PID:4270] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:34:56,950 PID:4270] Rank 0: Completed store-based barrier for 1 nodes. [8671a25bb4ef INFO 2022-10-18 06:34:56,950 PID:4270] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:34:56,951 PID:4270] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:34:56,952 PID:4270] [Rank: 0] Reading file: /tmp/tmp5ojdivar/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:34:56,964 PID:4270] [Rank: 0] Reading file: /tmp/tmp5ojdivar/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:34:56,976 PID:4270] [Rank: 0] Reading file: /tmp/tmp5ojdivar/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:34:56,990 PID:4270] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:34:56,990 PID:4270] Loading node feature[feat] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,995 PID:4270] Loading node feature[feat] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,996 PID:4270] Loading node feature[label] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,996 PID:4270] Loading node feature[label] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,997 PID:4270] Loading node feature[year] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,997 PID:4270] Loading node feature[year] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,998 PID:4270] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,998 PID:4270] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp5ojdivar/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:34:56,999 PID:4270] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp5ojdivar/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,012 PID:4270] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp5ojdivar/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,021 PID:4270] Loading edges of etype[author:writes:paper] from /tmp/tmp5ojdivar/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,034 PID:4270] Loading edges of etype[author:writes:paper] from /tmp/tmp5ojdivar/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,042 PID:4270] Loading edges of etype[paper:cites:paper] from /tmp/tmp5ojdivar/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,051 PID:4270] Loading edges of etype[paper:cites:paper] from /tmp/tmp5ojdivar/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,061 PID:4270] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp5ojdivar/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,070 PID:4270] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp5ojdivar/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:34:57,080 PID:4270] [Rank: 0] Done reading edge_file: 4, (50400,) [8671a25bb4ef INFO 2022-10-18 06:34:57,080 PID:4270] [Rank: 0] Done reading dataset deom /tmp/tmp5ojdivar/chunked-data [8671a25bb4ef INFO 2022-10-18 06:34:57,142 PID:4270] [Rank: 0] Done augmenting edge_data: 6, (50400,) [8671a25bb4ef INFO 2022-10-18 06:34:57,142 PID:4270] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:34:57,143 PID:4270] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:34:57,145 PID:4270] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:34:57,159 PID:4270] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:34:57,162 PID:4270] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] [8671a25bb4ef INFO 2022-10-18 06:34:57,167 PID:4270] [Rank: 0] Total time for node feature exchange: 0:00:00.024560 [8671a25bb4ef INFO 2022-10-18 06:34:57,168 PID:4270] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:34:57,168 PID:4270] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:34:57,168 PID:4270] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:34:57,176 PID:4270] [Rank: 0] Time to send/rcv edge data: 0:00:00.004213 [8671a25bb4ef INFO 2022-10-18 06:34:57,225 PID:4270] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:34:57,256 PID:4270] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:34:57,257 PID:4270] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:34:57,294 PID:4270] [Rank: 0] Done assigning global_ids to edges ... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] [8671a25bb4ef INFO 2022-10-18 06:34:57,468 PID:4270] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] [8671a25bb4ef INFO 2022-10-18 06:34:57,741 PID:4270] There are 50400 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:34:57,849 PID:4270] [Rank: 0] Time to create dgl objects: 0:00:00.379939 [8671a25bb4ef INFO 2022-10-18 06:34:57,849 PID:4270] [Rank: 0] Total execution time of the program: 0:00:00.898485 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:34:57,850 PID:4270] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 10%] tests/tools/test_dist_part.py::test_part_pipeline[1-3] Done with creating chunked graph PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/xbyak'... PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] INFO:root:Changing directory to /tmp/tmp3dd1zp_n/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/METIS/GKlib'... PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp3dd1zp_n/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp3dd1zp_n/parted_data --input-dir /tmp/tmp3dd1zp_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp3dd1zp_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp3dd1zp_n/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp3dd1zp_n/parted_data --input-dir /tmp/tmp3dd1zp_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp3dd1zp_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/googletest'... PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] [8671a25bb4ef INFO 2022-10-18 06:35:02,352 PID:4445] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:02,352 PID:4445] Rank 0: Completed store-based barrier for 1 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:02,353 PID:4445] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:02,353 PID:4445] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:02,354 PID:4445] [Rank: 0] Reading file: /tmp/tmp3dd1zp_n/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,366 PID:4445] [Rank: 0] Reading file: /tmp/tmp3dd1zp_n/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,377 PID:4445] [Rank: 0] Reading file: /tmp/tmp3dd1zp_n/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,385 PID:4445] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:02,385 PID:4445] Loading node feature[feat] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,389 PID:4445] Loading node feature[feat] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,390 PID:4445] Loading node feature[feat] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,390 PID:4445] Loading node feature[label] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,391 PID:4445] Loading node feature[label] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,391 PID:4445] Loading node feature[label] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,391 PID:4445] Loading node feature[year] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,392 PID:4445] Loading node feature[year] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,392 PID:4445] Loading node feature[year] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,393 PID:4445] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,393 PID:4445] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,393 PID:4445] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp3dd1zp_n/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:02,394 PID:4445] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,401 PID:4445] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,408 PID:4445] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,415 PID:4445] Loading edges of etype[author:writes:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,422 PID:4445] Loading edges of etype[author:writes:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,430 PID:4445] Loading edges of etype[author:writes:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,439 PID:4445] Loading edges of etype[paper:cites:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,447 PID:4445] Loading edges of etype[paper:cites:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,455 PID:4445] Loading edges of etype[paper:cites:paper] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,473 PID:4445] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,484 PID:4445] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,494 PID:4445] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp3dd1zp_n/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:02,503 PID:4445] [Rank: 0] Done reading edge_file: 4, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:02,504 PID:4445] [Rank: 0] Done reading dataset deom /tmp/tmp3dd1zp_n/chunked-data PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] [8671a25bb4ef INFO 2022-10-18 06:35:02,677 PID:4445] [Rank: 0] Done augmenting edge_data: 6, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:02,677 PID:4445] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:02,678 PID:4445] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:02,680 PID:4445] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:02,692 PID:4445] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:02,717 PID:4445] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:02,739 PID:4445] [Rank: 0] Total time for node feature exchange: 0:00:00.061063 [8671a25bb4ef INFO 2022-10-18 06:35:02,740 PID:4445] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:02,740 PID:4445] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:02,740 PID:4445] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:02,758 PID:4445] [Rank: 0] Time to send/rcv edge data: 0:00:00.009301 [8671a25bb4ef INFO 2022-10-18 06:35:02,805 PID:4445] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:02,835 PID:4445] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:02,836 PID:4445] [Rank: 0] Done assigning global-ids to nodes... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%][8671a25bb4ef INFO 2022-10-18 06:35:02,876 PID:4445] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:03,001 PID:4445] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] [8671a25bb4ef INFO 2022-10-18 06:35:03,256 PID:4445] There are 50400 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:03,284 PID:4445] [Rank: 0] Time to create dgl objects: 0:00:00.282863 [8671a25bb4ef INFO 2022-10-18 06:35:03,285 PID:4445] [Rank: 0] Total execution time of the program: 0:00:00.932112 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:03,285 PID:4445] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] ============================== warnings summary =============================== tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_csrmm.py: 68 warnings tests/compute/test_data.py: 17 warnings tests/compute/test_heterograph.py: 8 warnings tests/compute/test_transform.py: 9 warnings c:\program files\python36\lib\site-packages\numpy\matrixlib\defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. return matrix(data, dtype=dtype, copy=False) tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:512: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not i.flags.writeable or i.dtype not in (np.int32, np.int64): tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:514: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not j.flags.writeable or j.dtype not in (np.int32, np.int64): tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:356: DeprecationWarning: Numpy has detected that you (may be) writing to an array with overlapping memory from np.broadcast_arrays. If this is intentional set the WRITEABLE flag True or make a copy immediately before writing. i, j, x) tests/compute/test_data.py::test_citation_graph C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\data\citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset c:\program files\python36\lib\site-packages\numpy\lib\arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\data\csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_data.py::test_as_nodepred_ogb tests/compute/test_data.py::test_as_nodepred_ogb c:\program files\python36\lib\importlib\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject return f(*args, **kwds) tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4530@2\tests\compute\test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4530@2\tests\compute\test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\backend\pytorch\tensor.py:344: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). mask = th.tensor(mask, dtype=th.bool) tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\backend\pytorch\tensor.py:816: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_pickle.py::test_pickling_batched_heterograph C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\contrib\sampling\sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\_deprecate\nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\_ffi\_ctypes\function.py:139: ComplexWarning: Casting complex values to real discards the imaginary part values[i].v_float64 = arg tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\data\graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\transforms\functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\transforms\functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\transforms\functional.py:1320: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\backend\pytorch\tensor.py:53: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:180.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: C:\Jenkins\workspace\dgl_PR-4530@2\pytest_compute.xml -- ============================ slowest 100 durations ============================ 129.75s call tests/compute/test_data.py::test_reddit 61.96s call tests/compute/test_data.py::test_gin 61.16s call tests/compute/test_data.py::test_as_graphpred_ogb 50.15s call tests/compute/test_data.py::test_fakenews 41.95s call tests/compute/test_data.py::test_as_graphpred 24.91s call tests/compute/test_data.py::test_tudataset_regression 20.08s call tests/compute/test_data.py::test_gnn_benchmark 19.90s call tests/compute/test_data.py::test_as_graphpred_reprocess 18.37s call tests/compute/test_kernel.py::test_all_binary_builtins 15.82s call tests/compute/test_data.py::test_as_linkpred_ogb 11.79s call tests/compute/test_data.py::test_as_nodepred_ogb 11.44s call tests/compute/test_sampler.py::test_negative_sampler 5.88s call tests/compute/test_data.py::test_fraud 4.78s call tests/compute/test_data.py::test_citation_graph 4.54s call tests/compute/test_data.py::test_wiki_cs 4.27s call tests/compute/test_data.py::test_flickr 4.15s call tests/compute/test_data.py::test_add_nodepred_split 2.95s call tests/compute/test_data.py::test_explain_syn 1.40s call tests/compute/test_heterograph.py::test_forking_pickler 1.38s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.37s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.09s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.08s call tests/compute/test_transform.py::test_reorder_nodes 1.04s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.81s call tests/compute/test_data.py::test_csvdataset 0.64s call tests/compute/test_graph.py::test_query 0.59s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.58s call tests/compute/test_kernel.py::test_copy_src_reduce 0.57s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.56s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.56s call tests/compute/test_data.py::test_as_nodepred2 0.56s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.39s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.38s call tests/compute/test_heterograph.py::test_query[idtype0] 0.36s call tests/compute/test_heterograph.py::test_query[idtype1] 0.36s call tests/compute/test_data.py::test_as_nodepred1 0.35s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.30s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.24s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.23s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.21s call tests/compute/test_heterograph.py::test_frame[idtype1] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 0.18s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.18s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.16s call tests/compute/test_data.py::test_as_linkpred 0.16s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.16s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.16s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] 0.15s call tests/compute/test_sort.py::test_sort_with_tag[idtype1] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] 0.15s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.14s call tests/compute/test_sort.py::test_sort_with_tag[idtype0] 0.14s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.14s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] 0.12s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.12s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.11s call tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] 0.10s call tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.09s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.09s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] 0.09s call tests/compute/test_transform.py::test_remove_nodes[idtype1] 0.09s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.09s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.09s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.09s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.09s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] 0.09s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 0.09s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 0.09s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.09s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.09s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.08s call tests/compute/test_transform.py::test_khop_graph 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.08s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.08s call tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] 0.08s call tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] 0.08s call tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 0.07s call tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] 0.07s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 0.07s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.07s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.06s call tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] 0.06s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.06s call tests/compute/test_sampling.py::test_node2vec ========= 2382 passed, 56 skipped, 337 warnings in 562.57s (0:09:22) ========== PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] [Pipeline] } Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libnop'... [Pipeline] // timeout [Pipeline] } PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] [Pipeline] // stage PASSED [ 13%] tests/tools/test_dist_part.py::test_part_pipeline[1-4] [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Example test) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/libuv'... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] Done with creating chunked graph PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4530@2\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] Fetching without tags PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] INFO:root:Changing directory to /tmp/tmpxak3jg4r/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11'... PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpxak3jg4r/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpxak3jg4r/parted_data --input-dir /tmp/tmpxak3jg4r/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpxak3jg4r/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpxak3jg4r/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpxak3jg4r/parted_data --input-dir /tmp/tmpxak3jg4r/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpxak3jg4r/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/thrust/dependencies/cub'... PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] [8671a25bb4ef INFO 2022-10-18 06:35:07,882 PID:4620] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:07,882 PID:4620] Rank 0: Completed store-based barrier for 1 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:07,882 PID:4620] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:07,882 PID:4620] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:07,884 PID:4620] [Rank: 0] Reading file: /tmp/tmpxak3jg4r/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,894 PID:4620] [Rank: 0] Reading file: /tmp/tmpxak3jg4r/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,903 PID:4620] [Rank: 0] Reading file: /tmp/tmpxak3jg4r/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,915 PID:4620] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:07,915 PID:4620] Loading node feature[feat] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,923 PID:4620] Loading node feature[feat] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,924 PID:4620] Loading node feature[feat] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,924 PID:4620] Loading node feature[feat] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,925 PID:4620] Loading node feature[label] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,925 PID:4620] Loading node feature[label] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,926 PID:4620] Loading node feature[label] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,926 PID:4620] Loading node feature[label] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,927 PID:4620] Loading node feature[year] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,928 PID:4620] Loading node feature[year] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,928 PID:4620] Loading node feature[year] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,928 PID:4620] Loading node feature[year] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,929 PID:4620] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,929 PID:4620] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,930 PID:4620] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,930 PID:4620] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxak3jg4r/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:07,931 PID:4620] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:07,931 PID:4620] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:07,931 PID:4620] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:07,931 PID:4620] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:07,931 PID:4620] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:07,932 PID:4620] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,941 PID:4620] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,951 PID:4620] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,961 PID:4620] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,970 PID:4620] Loading edges of etype[author:writes:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:07,988 PID:4620] Loading edges of etype[author:writes:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,003 PID:4620] Loading edges of etype[author:writes:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,014 PID:4620] Loading edges of etype[author:writes:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,026 PID:4620] Loading edges of etype[paper:cites:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,033 PID:4620] Loading edges of etype[paper:cites:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,041 PID:4620] Loading edges of etype[paper:cites:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,049 PID:4620] Loading edges of etype[paper:cites:paper] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,057 PID:4620] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,064 PID:4620] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,071 PID:4620] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,077 PID:4620] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxak3jg4r/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:35:08,086 PID:4620] [Rank: 0] Done reading edge_file: 4, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:08,086 PID:4620] [Rank: 0] Done reading dataset deom /tmp/tmpxak3jg4r/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:08,156 PID:4620] [Rank: 0] Done augmenting edge_data: 6, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:08,157 PID:4620] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:08,157 PID:4620] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:08,177 PID:4620] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:08,193 PID:4620] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:08,218 PID:4620] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:08,257 PID:4620] [Rank: 0] Total time for node feature exchange: 0:00:00.100152 [8671a25bb4ef INFO 2022-10-18 06:35:08,258 PID:4620] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:08,258 PID:4620] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:35:08,258 PID:4620] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:08,270 PID:4620] [Rank: 0] Time to send/rcv edge data: 0:00:00.005541 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat [8671a25bb4ef INFO 2022-10-18 06:35:08,339 PID:4620] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:08,376 PID:4620] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:08,380 PID:4620] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:08,425 PID:4620] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:08,487 PID:4620] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530@2>git submodule update --recursive --init [8671a25bb4ef INFO 2022-10-18 06:35:08,765 PID:4620] There are 50400 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:08,792 PID:4620] [Rank: 0] Time to create dgl objects: 0:00:00.304751 [8671a25bb4ef INFO 2022-10-18 06:35:08,793 PID:4620] [Rank: 0] Total execution time of the program: 0:00:00.910145 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:08,794 PID:4620] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 16%] tests/tools/test_dist_part.py::test_part_pipeline[1-8] Done with creating chunked graph PASSED [ 80%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dlpack'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] INFO:root:Changing directory to /tmp/tmp2dbs9zru/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/rang'... PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530/third_party/tvm/3rdparty/vta-hw'... PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] bat PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4530@2>CALL tests\scripts\task_example_test.bat cpu /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp2dbs9zru/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp2dbs9zru/parted_data --input-dir /tmp/tmp2dbs9zru/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp2dbs9zru/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp2dbs9zru/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp2dbs9zru/parted_data --input-dir /tmp/tmp2dbs9zru/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmp2dbs9zru/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 28%]PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] C:\Jenkins\workspace\dgl_PR-4530@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0097, 0.0155, 0.0079, 0.0115, 0.0122, 0.0116, 0.0126, 0.0084, 0.0159, 0.0126, 0.0128, 0.0079, 0.0080, 0.0079, 0.0124, 0.0127, 0.0095, 0.0072, 0.0078, 0.0152, 0.0062, 0.0141, 0.0047, 0.0139, 0.0097, 0.0066, 0.0155, 0.0139, 0.0067, 0.0033, 0.0110, 0.0093, 0.0118, 0.0096, 0.0083, 0.0062, 0.0065, 0.0133, 0.0142, 0.0114, 0.0099, 0.0109, 0.0062, 0.0107, 0.0064, 0.0150, 0.0178, 0.0082, 0.0063, 0.0101, 0.0079, 0.0200, 0.0207, 0.0081, 0.0117, 0.0081, 0.0099, 0.0055, 0.0049, 0.0116, 0.0064, 0.0143, 0.0064, 0.0049, 0.0098, 0.0049, 0.0142, 0.0064, 0.0083, 0.0079, 0.0113, 0.0095, 0.0068, 0.0083, 0.0069, 0.0081, 0.0158, 0.0143, 0.0094, 0.0055, 0.0100, 0.0188, 0.0109, 0.0062, 0.0131, 0.0113, 0.0115, 0.0095, 0.0082, 0.0099, 0.0096, 0.0102, 0.0096, 0.0098, 0.0128, 0.0065, 0.0064, 0.0065, 0.0077, 0.0064]) [8671a25bb4ef INFO 2022-10-18 06:35:13,482 PID:4795] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:13,482 PID:4795] Rank 0: Completed store-based barrier for 1 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:13,483 PID:4795] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:13,483 PID:4795] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:13,484 PID:4795] [Rank: 0] Reading file: /tmp/tmp2dbs9zru/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,495 PID:4795] [Rank: 0] Reading file: /tmp/tmp2dbs9zru/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,505 PID:4795] [Rank: 0] Reading file: /tmp/tmp2dbs9zru/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,513 PID:4795] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:13,513 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,518 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,518 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,518 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,519 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,519 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,519 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,520 PID:4795] Loading node feature[feat] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/feat-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,520 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,520 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,521 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,521 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,521 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,521 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,522 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,522 PID:4795] Loading node feature[label] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/label-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,522 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,523 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,523 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,523 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,524 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,524 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,524 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,524 PID:4795] Loading node feature[year] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/year-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,525 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,525 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,525 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,526 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,526 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,526 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp2dbs9zru/chunked-data/node_data/paper/orig_ids-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:13,527 PID:4795] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [8671a25bb4ef INFO 2022-10-18 06:35:13,528 PID:4795] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:13,528 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,535 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,542 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,549 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,556 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution4.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,563 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution5.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,570 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution6.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,577 PID:4795] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:affiliated_with:institution7.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,584 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,591 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,599 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,614 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,629 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,642 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,650 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,658 PID:4795] Loading edges of etype[author:writes:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/author:writes:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,666 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,676 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,683 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,691 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,698 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,706 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,713 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,720 PID:4795] Loading edges of etype[paper:cites:paper] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:cites:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,728 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,735 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,742 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,750 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,757 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author4.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,764 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author5.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,770 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author6.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,778 PID:4795] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2dbs9zru/chunked-data/edge_index/paper:rev_writes:author7.txt [8671a25bb4ef INFO 2022-10-18 06:35:13,786 PID:4795] [Rank: 0] Done reading edge_file: 4, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:13,786 PID:4795] [Rank: 0] Done reading dataset deom /tmp/tmp2dbs9zru/chunked-data PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] [8671a25bb4ef INFO 2022-10-18 06:35:13,885 PID:4795] [Rank: 0] Done augmenting edge_data: 6, (50400,) [8671a25bb4ef INFO 2022-10-18 06:35:13,885 PID:4795] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:13,886 PID:4795] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:13,889 PID:4795] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:13,897 PID:4795] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:13,898 PID:4795] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:13,900 PID:4795] [Rank: 0] Total time for node feature exchange: 0:00:00.014111 [8671a25bb4ef INFO 2022-10-18 06:35:13,900 PID:4795] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:13,900 PID:4795] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:35:13,901 PID:4795] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:13,958 PID:4795] [Rank: 0] Time to send/rcv edge data: 0:00:00.006148 [8671a25bb4ef INFO 2022-10-18 06:35:14,005 PID:4795] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:14,062 PID:4795] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:14,069 PID:4795] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:14,117 PID:4795] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:14,200 PID:4795] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] [8671a25bb4ef INFO 2022-10-18 06:35:14,536 PID:4795] There are 50400 edges in partition 0 PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] [8671a25bb4ef INFO 2022-10-18 06:35:14,693 PID:4795] [Rank: 0] Time to create dgl objects: 0:00:00.493392 [8671a25bb4ef INFO 2022-10-18 06:35:14,694 PID:4795] [Rank: 0] Total execution time of the program: 0:00:01.211121 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:14,694 PID:4795] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 18%] tests/tools/test_dist_part.py::test_part_pipeline[2-1] PASSED [ 21%] tests/tools/test_dist_part.py::test_part_pipeline[2-2] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] Done with creating chunked graph PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] INFO:root:Changing directory to /tmp/tmpz3dq_ami/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] [Pipeline] sh /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpz3dq_ami/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpz3dq_ami/parted_data --input-dir /tmp/tmpz3dq_ami/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpz3dq_ami/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpz3dq_ami/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpz3dq_ami/parted_data --input-dir /tmp/tmpz3dq_ami/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpz3dq_ami/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpz3dq_ami/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpz3dq_ami/parted_data --input-dir /tmp/tmpz3dq_ami/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpz3dq_ami/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.2' (ECDSA) to the list of known hosts. + bash tests/scripts/task_unit_test.sh mxnet gpu PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 10.5 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 40.9 MB/s eta 0:00:00 PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] Collecting pydantic Downloading pydantic-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 103.4 MB/s eta 0:00:00 PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 61.3 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 18.6 MB/s eta 0:00:00 Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (2.8.2) PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.8/500.8 kB 68.1 MB/s eta 0:00:00 Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: setuptools in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.3 MB/s eta 0:00:00 Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:35:20,481 PID:4987] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:20,481 PID:4987] Rank 1: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:20,481 PID:4985] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:20,482 PID:4985] Rank 0: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:20,482 PID:4985] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:20,482 PID:4985] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:20,484 PID:4985] [Rank: 0] Reading file: /tmp/tmpz3dq_ami/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,488 PID:4987] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:20,488 PID:4987] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:20,489 PID:4987] [Rank: 1] Reading file: /tmp/tmpz3dq_ami/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,500 PID:4985] [Rank: 0] Reading file: /tmp/tmpz3dq_ami/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,512 PID:4985] [Rank: 0] Reading file: /tmp/tmpz3dq_ami/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,515 PID:4987] [Rank: 1] Reading file: /tmp/tmpz3dq_ami/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,523 PID:4985] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:20,523 PID:4985] Loading node feature[feat] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,527 PID:4985] Loading node feature[label] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,528 PID:4985] Loading node feature[year] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,528 PID:4985] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,528 PID:4985] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:20,529 PID:4985] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,529 PID:4985] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,529 PID:4985] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,529 PID:4985] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/paper:cites:paper/count-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,529 PID:4985] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/author:writes:paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,530 PID:4985] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,530 PID:4985] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,530 PID:4985] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,530 PID:4985] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,530 PID:4985] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpz3dq_ami/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,532 PID:4987] [Rank: 1] Reading file: /tmp/tmpz3dq_ami/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,539 PID:4985] Loading edges of etype[author:writes:paper] from /tmp/tmpz3dq_ami/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,547 PID:4987] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:20,547 PID:4987] Loading node feature[feat] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,550 PID:4985] Loading edges of etype[paper:cites:paper] from /tmp/tmpz3dq_ami/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,552 PID:4987] Loading node feature[label] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,552 PID:4987] Loading node feature[year] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,553 PID:4987] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpz3dq_ami/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,553 PID:4987] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:20,553 PID:4987] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,554 PID:4987] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,554 PID:4987] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:20,554 PID:4987] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/paper:cites:paper/count-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,554 PID:4987] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/author:writes:paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,555 PID:4987] Loading numpy from /tmp/tmpz3dq_ami/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:20,555 PID:4987] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([12000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,555 PID:4987] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,555 PID:4987] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:35:20,555 PID:4987] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpz3dq_ami/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,562 PID:4985] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpz3dq_ami/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,573 PID:4987] Loading edges of etype[author:writes:paper] from /tmp/tmpz3dq_ami/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,578 PID:4985] [Rank: 0] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:20,578 PID:4985] [Rank: 0] Done reading dataset deom /tmp/tmpz3dq_ami/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:20,590 PID:4987] Loading edges of etype[paper:cites:paper] from /tmp/tmpz3dq_ami/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,609 PID:4987] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpz3dq_ami/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:20,623 PID:4987] [Rank: 1] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:20,624 PID:4987] [Rank: 1] Done reading dataset deom /tmp/tmpz3dq_ami/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:20,678 PID:4987] [Rank: 1] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:20,678 PID:4987] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:20,678 PID:4987] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:20,678 PID:4985] [Rank: 0] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:20,678 PID:4985] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:20,679 PID:4985] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:20,732 PID:4987] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:20,732 PID:4985] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:20,802 PID:4985] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:20,802 PID:4987] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:20,893 PID:4987] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:20,894 PID:4985] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:20,980 PID:4987] [Rank: 1] Total time for node feature exchange: 0:00:00.301516 [8671a25bb4ef INFO 2022-10-18 06:35:20,980 PID:4987] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:20,980 PID:4985] [Rank: 0] Total time for node feature exchange: 0:00:00.300977 [8671a25bb4ef INFO 2022-10-18 06:35:20,980 PID:4985] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:20,981 PID:4987] [Rank: 1] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:35:20,981 PID:4985] [Rank: 0] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:35:21,147 PID:4987] [Rank: 1] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:35:21,153 PID:4985] [Rank: 0] processing node feature: author:writes:paper/year PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] [8671a25bb4ef INFO 2022-10-18 06:35:21,281 PID:4987] [Rank: 1] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:35:21,281 PID:4985] [Rank: 0] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:35:21,439 PID:4987] [Rank: 1] Total time for node feature exchange: 0:00:00.457954 [8671a25bb4ef INFO 2022-10-18 06:35:21,439 PID:4985] [Rank: 0] Total time for node feature exchange: 0:00:00.457949 [8671a25bb4ef INFO 2022-10-18 06:35:21,439 PID:4985] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:21,439 PID:4987] [Rank: 1] Done with edge features exchange. PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4530@2\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4530@2\cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9465 | Accuracy 0.1740 Epoch 00001 | Loss 1.9423 | Accuracy 0.2160 Epoch 00002 | Loss 1.9354 | Accuracy 0.4540 Epoch 00003 | Loss 1.9257 | Accuracy 0.5560 Epoch 00004 | Loss 1.9190 | Accuracy 0.6000 Epoch 00005 | Loss 1.9102 | Accuracy 0.6480 Epoch 00006 | Loss 1.8989 | Accuracy 0.6920 Epoch 00007 | Loss 1.8902 | Accuracy 0.7060 Epoch 00008 | Loss 1.8734 | Accuracy 0.7300 Epoch 00009 | Loss 1.8618 | Accuracy 0.7400 Epoch 00010 | Loss 1.8529 | Accuracy 0.7520 Epoch 00011 | Loss 1.8339 | Accuracy 0.7420 Epoch 00012 | Loss 1.8315 | Accuracy 0.7300 Epoch 00013 | Loss 1.8034 | Accuracy 0.7200 Epoch 00014 | Loss 1.7951 | Accuracy 0.7080 Epoch 00015 | Loss 1.7814 | Accuracy 0.7060 Epoch 00016 | Loss 1.7613 | Accuracy 0.7000 Epoch 00017 | Loss 1.7490 | Accuracy 0.7060 Epoch 00018 | Loss 1.7338 | Accuracy 0.7080 Epoch 00019 | Loss 1.7047 | Accuracy 0.7180 Epoch 00020 | Loss 1.6964 | Accuracy 0.7300 Epoch 00021 | Loss 1.6867 | Accuracy 0.7380 Epoch 00022 | Loss 1.6581 | Accuracy 0.7380 Epoch 00023 | Loss 1.6333 | Accuracy 0.7380 Epoch 00024 | Loss 1.6145 | Accuracy 0.7320 Epoch 00025 | Loss 1.5878 | Accuracy 0.7260 Epoch 00026 | Loss 1.5883 | Accuracy 0.7240 Epoch 00027 | Loss 1.5650 | Accuracy 0.7320 Epoch 00028 | Loss 1.5259 | Accuracy 0.7360 Epoch 00029 | Loss 1.5293 | Accuracy 0.7380 Epoch 00030 | Loss 1.4976 | Accuracy 0.7380 Epoch 00031 | Loss 1.4647 | Accuracy 0.7400 Epoch 00032 | Loss 1.4492 | Accuracy 0.7400 Epoch 00033 | Loss 1.4521 | Accuracy 0.7380 Epoch 00034 | Loss 1.4082 | Accuracy 0.7400 Epoch 00035 | Loss 1.3674 | Accuracy 0.7340 Epoch 00036 | Loss 1.3590 | Accuracy 0.7380 Epoch 00037 | Loss 1.3383 | Accuracy 0.7340 Epoch 00038 | Loss 1.3409 | Accuracy 0.7380 Epoch 00039 | Loss 1.2611 | Accuracy 0.7400 Epoch 00040 | Loss 1.2544 | Accuracy 0.7420 Epoch 00041 | Loss 1.2652 | Accuracy 0.7460 Epoch 00042 | Loss 1.2395 | Accuracy 0.7460 Epoch 00043 | Loss 1.1821 | Accuracy 0.7480 Epoch 00044 | Loss 1.1764 | Accuracy 0.7560 Epoch 00045 | Loss 1.1248 | Accuracy 0.7580 Epoch 00046 | Loss 1.1471 | Accuracy 0.7560 Epoch 00047 | Loss 1.1014 | Accuracy 0.7580 Epoch 00048 | Loss 1.0889 | Accuracy 0.7600 Epoch 00049 | Loss 1.0446 | Accuracy 0.7620 Epoch 00050 | Loss 1.0302 | Accuracy 0.7620 Epoch 00051 | Loss 1.0467 | Accuracy 0.7600 Epoch 00052 | Loss 1.0434 | Accuracy 0.7540 Epoch 00053 | Loss 0.9594 | Accuracy 0.7500 Epoch 00054 | Loss 0.9393 | Accuracy 0.7520 Epoch 00055 | Loss 0.9698 | Accuracy 0.7520 Epoch 00056 | Loss 0.9196 | Accuracy 0.7500 Epoch 00057 | Loss 0.9140 | Accuracy 0.7500 Epoch 00058 | Loss 0.9015 | Accuracy 0.7540 Epoch 00059 | Loss 0.8691 | Accuracy 0.7580 Epoch 00060 | Loss 0.8521 | Accuracy 0.7580 Epoch 00061 | Loss 0.8636 | Accuracy 0.7560 Epoch 00062 | Loss 0.8677 | Accuracy 0.7580 Epoch 00063 | Loss 0.8510 | Accuracy 0.7560 Epoch 00064 | Loss 0.8142 | Accuracy 0.7560 Epoch 00065 | Loss 0.7528 | Accuracy 0.7620 Epoch 00066 | Loss 0.8041 | Accuracy 0.7580 Epoch 00067 | Loss 0.7559 | Accuracy 0.7520 Epoch 00068 | Loss 0.7904 | Accuracy 0.7500 Epoch 00069 | Loss 0.7810 | Accuracy 0.7500 Epoch 00070 | Loss 0.7242 | Accuracy 0.7580 Epoch 00071 | Loss 0.6907 | Accuracy 0.7620 Epoch 00072 | Loss 0.7053 | Accuracy 0.7640 Epoch 00073 | Loss 0.7218 | Accuracy 0.7640 Epoch 00074 | Loss 0.6849 | Accuracy 0.7620 Epoch 00075 | Loss 0.6820 | Accuracy 0.7600 Epoch 00076 | Loss 0.7142 | Accuracy 0.7580 Epoch 00077 | Loss 0.6871 | Accuracy 0.7540 Epoch 00078 | Loss 0.6712 | Accuracy 0.7520 Epoch 00079 | Loss 0.6348 | Accuracy 0.7580 Epoch 00080 | Loss 0.6348 | Accuracy 0.7600 Epoch 00081 | Loss 0.6452 | Accuracy 0.7620 Epoch 00082 | Loss 0.6178 | Accuracy 0.7620 Epoch 00083 | Loss 0.6384 | Accuracy 0.7640 Epoch 00084 | Loss 0.6124 | Accuracy 0.7640 Epoch 00085 | Loss 0.6385 | Accuracy 0.7660 Epoch 00086 | Loss 0.6008 | Accuracy 0.7640 Epoch 00087 | Loss 0.5447 | Accuracy 0.7640 Epoch 00088 | Loss 0.5812 | Accuracy 0.7640 Epoch 00089 | Loss 0.5774 | Accuracy 0.7660 Epoch 00090 | Loss 0.5793 | Accuracy 0.7640 Epoch 00091 | Loss 0.5507 | Accuracy 0.7640 Epoch 00092 | Loss 0.5625 | Accuracy 0.7620 Epoch 00093 | Loss 0.5525 | Accuracy 0.7640 Epoch 00094 | Loss 0.5398 | Accuracy 0.7640 Epoch 00095 | Loss 0.5188 | Accuracy 0.7680 Epoch 00096 | Loss 0.5410 | Accuracy 0.7700 Epoch 00097 | Loss 0.5397 | Accuracy 0.7680 Epoch 00098 | Loss 0.4913 | Accuracy 0.7720 Epoch 00099 | Loss 0.5147 | Accuracy 0.7780 Epoch 00100 | Loss 0.5448 | Accuracy 0.7720 Epoch 00101 | Loss 0.5205 | Accuracy 0.7700 Epoch 00102 | Loss 0.5556 | Accuracy 0.7700 Epoch 00103 | Loss 0.5156 | Accuracy 0.7640 Epoch 00104 | Loss 0.5078 | Accuracy 0.7620 Epoch 00105 | Loss 0.5392 | Accuracy 0.7640 Epoch 00106 | Loss 0.4979 | Accuracy 0.7640 Epoch 00107 | Loss 0.5086 | Accuracy 0.7680 Epoch 00108 | Loss 0.4752 | Accuracy 0.7640 Epoch 00109 | Loss 0.5151 | Accuracy 0.7700 Epoch 00110 | Loss 0.4663 | Accuracy 0.7720 Epoch 00111 | Loss 0.4411 | Accuracy 0.7740 Epoch 00112 | Loss 0.4880 | Accuracy 0.7780 Epoch 00113 | Loss 0.4894 | Accuracy 0.7800 Epoch 00114 | Loss 0.4840 | Accuracy 0.7760 Epoch 00115 | Loss 0.4692 | Accuracy 0.7780 Epoch 00116 | Loss 0.4416 | Accuracy 0.7780 Epoch 00117 | Loss 0.4616 | Accuracy 0.7740 Epoch 00118 | Loss 0.4314 | Accuracy 0.7760 Epoch 00119 | Loss 0.4507 | Accuracy 0.7760 Epoch 00120 | Loss 0.4189 | Accuracy 0.7800 Epoch 00121 | Loss 0.4473 | Accuracy 0.7740 Epoch 00122 | Loss 0.4339 | Accuracy 0.7720 Epoch 00123 | Loss 0.4366 | Accuracy 0.7720 Epoch 00124 | Loss 0.4280 | Accuracy 0.7720 Epoch 00125 | Loss 0.4493 | Accuracy 0.7700 Epoch 00126 | Loss 0.4516 | Accuracy 0.7700 Epoch 00127 | Loss 0.4439 | Accuracy 0.7700 Epoch 00128 | Loss 0.4031 | Accuracy 0.7700 Epoch 00129 | Loss 0.4800 | Accuracy 0.7800 Epoch 00130 | Loss 0.4556 | Accuracy 0.7760 Epoch 00131 | Loss 0.4020 | Accuracy 0.7780 Epoch 00132 | Loss 0.4307 | Accuracy 0.7780 Epoch 00133 | Loss 0.4459 | Accuracy 0.7760 Epoch 00134 | Loss 0.4210 | Accuracy 0.7740 Epoch 00135 | Loss 0.4347 | Accuracy 0.7780 Epoch 00136 | Loss 0.3980 | Accuracy 0.7780 Epoch 00137 | Loss 0.3901 | Accuracy 0.7820 Epoch 00138 | Loss 0.4093 | Accuracy 0.7780 Epoch 00139 | Loss 0.3851 | Accuracy 0.7780 Epoch 00140 | Loss 0.3692 | Accuracy 0.7820 Epoch 00141 | Loss 0.4197 | Accuracy 0.7740 Epoch 00142 | Loss 0.3743 | Accuracy 0.7740 Epoch 00143 | Loss 0.3989 | Accuracy 0.7740 Epoch 00144 | Loss 0.4059 | Accuracy 0.7720 Epoch 00145 | Loss 0.3806 | Accuracy 0.7780 Epoch 00146 | Loss 0.3852 | Accuracy 0.7760 Epoch 00147 | Loss 0.3448 | Accuracy 0.7740 Epoch 00148 | Loss 0.3494 | Accuracy 0.7780 Epoch 00149 | Loss 0.3706 | Accuracy 0.7780 Epoch 00150 | Loss 0.3988 | Accuracy 0.7760 Epoch 00151 | Loss 0.3724 | Accuracy 0.7780 Epoch 00152 | Loss 0.3498 | Accuracy 0.7800 Epoch 00153 | Loss 0.4168 | Accuracy 0.7780 Epoch 00154 | Loss 0.3921 | Accuracy 0.7740 Epoch 00155 | Loss 0.3325 | Accuracy 0.7740 Epoch 00156 | Loss 0.3766 | Accuracy 0.7700 Epoch 00157 | Loss 0.3443 | Accuracy 0.7720 Epoch 00158 | Loss 0.3752 | Accuracy 0.7740 Epoch 00159 | Loss 0.3409 | Accuracy 0.7760 Epoch 00160 | Loss 0.3511 | Accuracy 0.7800 Epoch 00161 | Loss 0.3768 | Accuracy 0.7760 Epoch 00162 | Loss 0.3670 | Accuracy 0.7760 Epoch 00163 | Loss 0.3987 | Accuracy 0.7800 Epoch 00164 | Loss 0.3376 | Accuracy 0.7820 Epoch 00165 | Loss 0.3450 | Accuracy 0.7840 Epoch 00166 | Loss 0.3453 | Accuracy 0.7820 Epoch 00167 | Loss 0.3420 | Accuracy 0.7840 Epoch 00168 | Loss 0.4164 | Accuracy 0.7760 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] [8671a25bb4ef INFO 2022-10-18 06:35:21,736 PID:4987] [Rank: 1] Time to send/rcv edge data: 0:00:00.145442 [8671a25bb4ef INFO 2022-10-18 06:35:21,740 PID:4985] [Rank: 0] Time to send/rcv edge data: 0:00:00.149646 [8671a25bb4ef INFO 2022-10-18 06:35:21,815 PID:4985] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:21,844 PID:4987] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:21,852 PID:4985] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:21,903 PID:4987] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:21,905 PID:4987] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:21,905 PID:4985] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:21,967 PID:4985] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:21,968 PID:4987] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:22,010 PID:4985] [Rank: 0] key: paper:cites:paper/count v: torch.Size([11955]) [8671a25bb4ef INFO 2022-10-18 06:35:22,010 PID:4985] [Rank: 0] key: author:writes:paper/year v: torch.Size([5958]) [8671a25bb4ef INFO 2022-10-18 06:35:22,010 PID:4985] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([6057]) PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] [8671a25bb4ef INFO 2022-10-18 06:35:22,037 PID:4987] [Rank: 1] key: paper:cites:paper/count v: torch.Size([12045]) [8671a25bb4ef INFO 2022-10-18 06:35:22,037 PID:4987] [Rank: 1] key: author:writes:paper/year v: torch.Size([6042]) [8671a25bb4ef INFO 2022-10-18 06:35:22,037 PID:4987] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([5943]) [8671a25bb4ef INFO 2022-10-18 06:35:22,300 PID:4987] [Rank: 1] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:22,304 PID:4985] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 82%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] [8671a25bb4ef INFO 2022-10-18 06:35:22,618 PID:4985] There are 25167 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:22,666 PID:4987] There are 25233 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:35:22,717 PID:4987] [Rank: 1] Time to create dgl objects: 0:00:00.414031 [8671a25bb4ef INFO 2022-10-18 06:35:22,717 PID:4987] [Rank: 1] Total execution time of the program: 0:00:02.229660 [8671a25bb4ef INFO 2022-10-18 06:35:22,719 PID:4987] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:22,725 PID:4985] [Rank: 0] Time to create dgl objects: 0:00:00.420692 [8671a25bb4ef INFO 2022-10-18 06:35:22,726 PID:4985] [Rank: 0] Total execution time of the program: 0:00:02.243474 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:22,726 PID:4985] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:512: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not i.flags.writeable or i.dtype not in (np.int32, np.int64): c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:514: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not j.flags.writeable or j.dtype not in (np.int32, np.int64): Epoch 00169 | Loss 0.3508 | Accuracy 0.7780 Epoch 00170 | Loss 0.3779 | Accuracy 0.7760 Epoch 00171 | Loss 0.3546 | Accuracy 0.7740 Epoch 00172 | Loss 0.3704 | Accuracy 0.7760 Epoch 00173 | Loss 0.3458 | Accuracy 0.7740 Epoch 00174 | Loss 0.3402 | Accuracy 0.7740 Epoch 00175 | Loss 0.3570 | Accuracy 0.7760 Epoch 00176 | Loss 0.3303 | Accuracy 0.7760 Epoch 00177 | Loss 0.3223 | Accuracy 0.7800 Epoch 00178 | Loss 0.2872 | Accuracy 0.7820 Epoch 00179 | Loss 0.3223 | Accuracy 0.7820 Epoch 00180 | Loss 0.3699 | Accuracy 0.7860 Epoch 00181 | Loss 0.3064 | Accuracy 0.7900 Epoch 00182 | Loss 0.3495 | Accuracy 0.7900 Epoch 00183 | Loss 0.3218 | Accuracy 0.7860 Epoch 00184 | Loss 0.3313 | Accuracy 0.7860 Epoch 00185 | Loss 0.3095 | Accuracy 0.7800 Epoch 00186 | Loss 0.3200 | Accuracy 0.7780 Epoch 00187 | Loss 0.3266 | Accuracy 0.7740 Epoch 00188 | Loss 0.3064 | Accuracy 0.7760 Epoch 00189 | Loss 0.3295 | Accuracy 0.7760 Epoch 00190 | Loss 0.3199 | Accuracy 0.7780 Epoch 00191 | Loss 0.3204 | Accuracy 0.7780 Epoch 00192 | Loss 0.3487 | Accuracy 0.7780 Epoch 00193 | Loss 0.3387 | Accuracy 0.7780 Epoch 00194 | Loss 0.3126 | Accuracy 0.7780 Epoch 00195 | Loss 0.3171 | Accuracy 0.7840 Epoch 00196 | Loss 0.3371 | Accuracy 0.7840 Epoch 00197 | Loss 0.3191 | Accuracy 0.7840 Epoch 00198 | Loss 0.3157 | Accuracy 0.7800 Epoch 00199 | Loss 0.3238 | Accuracy 0.7780 Testing... Test accuracy 0.8070 [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g1] PASSED [ 24%] tests/tools/test_dist_part.py::test_part_pipeline[2-3] Done with creating chunked graph PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 83%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 84%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 86%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g0] INFO:root:Changing directory to /tmp/tmpudx_u5v5/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 86%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (U...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (U...) [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 87%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpudx_u5v5/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpudx_u5v5/parted_data --input-dir /tmp/tmpudx_u5v5/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpudx_u5v5/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpudx_u5v5/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpudx_u5v5/parted_data --input-dir /tmp/tmpudx_u5v5/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpudx_u5v5/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpudx_u5v5/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpudx_u5v5/parted_data --input-dir /tmp/tmpudx_u5v5/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpudx_u5v5/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] [8671a25bb4ef INFO 2022-10-18 06:35:27,682 PID:5319] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:27,682 PID:5322] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:27,683 PID:5322] Rank 1: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:27,683 PID:5319] Rank 0: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:27,683 PID:5319] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:27,683 PID:5319] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:27,684 PID:5322] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:27,684 PID:5322] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:27,684 PID:5319] [Rank: 0] Reading file: /tmp/tmpudx_u5v5/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,686 PID:5322] [Rank: 1] Reading file: /tmp/tmpudx_u5v5/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,698 PID:5319] [Rank: 0] Reading file: /tmp/tmpudx_u5v5/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,704 PID:5322] [Rank: 1] Reading file: /tmp/tmpudx_u5v5/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,722 PID:5319] [Rank: 0] Reading file: /tmp/tmpudx_u5v5/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,723 PID:5322] [Rank: 1] Reading file: /tmp/tmpudx_u5v5/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,735 PID:5322] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:27,736 PID:5322] Loading node feature[feat] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,740 PID:5322] Loading node feature[label] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,740 PID:5322] Loading node feature[year] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,741 PID:5322] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,741 PID:5322] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5322] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5322] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5322] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5322] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5322] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,742 PID:5319] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:27,743 PID:5319] Loading node feature[feat] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,747 PID:5319] Loading node feature[feat] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,747 PID:5319] Loading node feature[label] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,748 PID:5319] Loading node feature[label] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,748 PID:5319] Loading node feature[year] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,748 PID:5319] Loading node feature[year] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,749 PID:5319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,749 PID:5319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpudx_u5v5/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:27,749 PID:5319] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([800, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5319] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([800]) [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5319] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([800]) [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5319] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([800]) [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5319] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,750 PID:5322] Loading edges of etype[author:writes:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,760 PID:5322] Loading edges of etype[paper:cites:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,763 PID:5319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,773 PID:5322] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,780 PID:5319] Loading edges of etype[author:writes:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,784 PID:5322] [Rank: 1] Done reading edge_file: 4, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:27,785 PID:5322] [Rank: 1] Done reading dataset deom /tmp/tmpudx_u5v5/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:27,795 PID:5319] Loading edges of etype[author:writes:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,807 PID:5319] Loading edges of etype[paper:cites:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,815 PID:5319] Loading edges of etype[paper:cites:paper] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,824 PID:5319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,831 PID:5319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpudx_u5v5/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:27,844 PID:5319] [Rank: 0] Done reading edge_file: 4, (33600,) [8671a25bb4ef INFO 2022-10-18 06:35:27,845 PID:5319] [Rank: 0] Done reading dataset deom /tmp/tmpudx_u5v5/chunked-data PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] [8671a25bb4ef INFO 2022-10-18 06:35:27,888 PID:5322] [Rank: 1] Done augmenting edge_data: 6, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:27,888 PID:5322] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:27,888 PID:5322] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:27,889 PID:5319] [Rank: 0] Done augmenting edge_data: 6, (33600,) [8671a25bb4ef INFO 2022-10-18 06:35:27,889 PID:5319] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:27,890 PID:5319] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:27,960 PID:5319] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:27,960 PID:5322] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:28,062 PID:5322] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:28,062 PID:5319] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:28,126 PID:5322] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:28,126 PID:5319] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] [8671a25bb4ef INFO 2022-10-18 06:35:28,187 PID:5322] [Rank: 1] Total time for node feature exchange: 0:00:00.299165 [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5322] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5322] [Rank: 1] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5322] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5319] [Rank: 0] Total time for node feature exchange: 0:00:00.297833 [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5319] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5319] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:28,188 PID:5319] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:28,266 PID:5319] [Rank: 0] Time to send/rcv edge data: 0:00:00.018247 [8671a25bb4ef INFO 2022-10-18 06:35:28,266 PID:5322] [Rank: 1] Time to send/rcv edge data: 0:00:00.018032 [8671a25bb4ef INFO 2022-10-18 06:35:28,333 PID:5319] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:28,335 PID:5322] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:28,374 PID:5322] [Rank: 1] Sorted node_data by node_type ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.1 MB/s eta 0:00:00 [8671a25bb4ef INFO 2022-10-18 06:35:28,387 PID:5319] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:28,389 PID:5322] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:28,389 PID:5319] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:28,448 PID:5322] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:28,449 PID:5319] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:28,636 PID:5319] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:28,641 PID:5322] [Rank: 1] Done resolving orig_node_id for local node_ids... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] [8671a25bb4ef INFO 2022-10-18 06:35:28,923 PID:5319] There are 24618 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:28,941 PID:5322] There are 25782 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:35:28,974 PID:5322] [Rank: 1] Time to create dgl objects: 0:00:00.332523 [8671a25bb4ef INFO 2022-10-18 06:35:28,975 PID:5322] [Rank: 1] Total execution time of the program: 0:00:01.290381 [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:28,975 PID:5322] [Rank: 1] Done with Distributed data processing pipeline processing. [8671a25bb4ef INFO 2022-10-18 06:35:28,975 PID:5319] [Rank: 0] Time to create dgl objects: 0:00:00.339041 [8671a25bb4ef INFO 2022-10-18 06:35:28,976 PID:5319] [Rank: 0] Total execution time of the program: 0:00:01.292523 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:28,977 PID:5319] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 27%] tests/tools/test_dist_part.py::test_part_pipeline[2-4] Done with creating chunked graph PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb INFO:root:Changing directory to /tmp/tmpas8jgyak/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpas8jgyak/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpas8jgyak/parted_data --input-dir /tmp/tmpas8jgyak/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpas8jgyak/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpas8jgyak/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpas8jgyak/parted_data --input-dir /tmp/tmpas8jgyak/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpas8jgyak/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpas8jgyak/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpas8jgyak/parted_data --input-dir /tmp/tmpas8jgyak/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpas8jgyak/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:35:34,996 PID:5655] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:34,996 PID:5655] Rank 1: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:34,996 PID:5652] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:34,997 PID:5652] Rank 0: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:34,997 PID:5652] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:34,997 PID:5652] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:34,999 PID:5652] [Rank: 0] Reading file: /tmp/tmpas8jgyak/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:34,998 PID:5655] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:34,999 PID:5655] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:35,000 PID:5655] [Rank: 1] Reading file: /tmp/tmpas8jgyak/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,012 PID:5655] [Rank: 1] Reading file: /tmp/tmpas8jgyak/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,016 PID:5652] [Rank: 0] Reading file: /tmp/tmpas8jgyak/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,022 PID:5655] [Rank: 1] Reading file: /tmp/tmpas8jgyak/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,032 PID:5655] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:35,032 PID:5655] Loading node feature[feat] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,033 PID:5652] [Rank: 0] Reading file: /tmp/tmpas8jgyak/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,043 PID:5655] Loading node feature[feat] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,044 PID:5655] Loading node feature[label] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,045 PID:5655] Loading node feature[label] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,046 PID:5655] Loading node feature[year] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,047 PID:5655] Loading node feature[year] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,048 PID:5655] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,049 PID:5655] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,048 PID:5652] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:35,049 PID:5652] Loading node feature[feat] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,050 PID:5655] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:35,050 PID:5655] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,050 PID:5655] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,051 PID:5655] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,051 PID:5655] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:35,051 PID:5655] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,056 PID:5652] Loading node feature[feat] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,057 PID:5652] Loading node feature[label] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,058 PID:5652] Loading node feature[label] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,059 PID:5652] Loading node feature[year] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,060 PID:5652] Loading node feature[year] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,061 PID:5652] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,061 PID:5652] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpas8jgyak/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:35,062 PID:5652] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:35,063 PID:5652] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,063 PID:5652] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,063 PID:5652] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:35,063 PID:5652] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:35,063 PID:5652] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,067 PID:5655] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,078 PID:5655] Loading edges of etype[author:writes:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,080 PID:5652] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,088 PID:5655] Loading edges of etype[author:writes:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,095 PID:5652] Loading edges of etype[author:writes:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,097 PID:5655] Loading edges of etype[paper:cites:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,107 PID:5655] Loading edges of etype[paper:cites:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,110 PID:5652] Loading edges of etype[author:writes:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,117 PID:5655] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,124 PID:5652] Loading edges of etype[paper:cites:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,125 PID:5655] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,134 PID:5655] [Rank: 1] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:35,134 PID:5655] [Rank: 1] Done reading dataset deom /tmp/tmpas8jgyak/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:35,138 PID:5652] Loading edges of etype[paper:cites:paper] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,153 PID:5652] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,165 PID:5652] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpas8jgyak/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:35,175 PID:5652] [Rank: 0] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:35,175 PID:5652] [Rank: 0] Done reading dataset deom /tmp/tmpas8jgyak/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:35,222 PID:5652] [Rank: 0] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:35,222 PID:5652] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:35,222 PID:5655] [Rank: 1] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:35,222 PID:5655] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:35,223 PID:5652] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:35,223 PID:5655] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:35,290 PID:5652] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:35,290 PID:5655] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:35,330 PID:5655] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:35,330 PID:5652] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:35,405 PID:5655] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:35,406 PID:5652] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:35,477 PID:5655] [Rank: 1] Total time for node feature exchange: 0:00:00.254323 [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5652] [Rank: 0] Total time for node feature exchange: 0:00:00.254859 [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5655] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5655] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5655] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5652] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5652] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:35:35,478 PID:5652] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:35,598 PID:5655] [Rank: 1] Time to send/rcv edge data: 0:00:00.054163 [8671a25bb4ef INFO 2022-10-18 06:35:35,598 PID:5652] [Rank: 0] Time to send/rcv edge data: 0:00:00.054078 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] [8671a25bb4ef INFO 2022-10-18 06:35:35,649 PID:5655] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:35,666 PID:5652] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:35,686 PID:5655] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:35,720 PID:5652] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:35,722 PID:5652] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:35,722 PID:5655] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:35,780 PID:5655] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:35,780 PID:5652] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:36,036 PID:5652] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:36,047 PID:5655] [Rank: 1] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:36,340 PID:5655] There are 25116 edges in partition 1 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] [8671a25bb4ef INFO 2022-10-18 06:35:36,397 PID:5652] There are 25284 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:36,437 PID:5655] [Rank: 1] Time to create dgl objects: 0:00:00.389859 [8671a25bb4ef INFO 2022-10-18 06:35:36,438 PID:5655] [Rank: 1] Total execution time of the program: 0:00:01.439348 [8671a25bb4ef INFO 2022-10-18 06:35:36,438 PID:5652] [Rank: 0] Time to create dgl objects: 0:00:00.401592 [8671a25bb4ef INFO 2022-10-18 06:35:36,438 PID:5652] [Rank: 0] Total execution time of the program: 0:00:01.441277 [8671a25bb4ef INFO 2022-10-18 06:35:36,439 PID:5655] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:36,439 PID:5652] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 29%] tests/tools/test_dist_part.py::test_part_pipeline[2-8] Done with creating chunked graph PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] INFO:root:Changing directory to /tmp/tmp0vn8g4kd/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp0vn8g4kd/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0vn8g4kd/parted_data --input-dir /tmp/tmp0vn8g4kd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0vn8g4kd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp0vn8g4kd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0vn8g4kd/parted_data --input-dir /tmp/tmp0vn8g4kd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0vn8g4kd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp0vn8g4kd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0vn8g4kd/parted_data --input-dir /tmp/tmp0vn8g4kd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0vn8g4kd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] [8671a25bb4ef INFO 2022-10-18 06:35:41,401 PID:5985] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:41,401 PID:5985] Rank 0: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:41,402 PID:5985] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:41,402 PID:5985] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:41,401 PID:5988] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:41,402 PID:5988] Rank 1: Completed store-based barrier for 2 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:41,402 PID:5988] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:41,402 PID:5988] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:41,403 PID:5985] [Rank: 0] Reading file: /tmp/tmp0vn8g4kd/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,404 PID:5988] [Rank: 1] Reading file: /tmp/tmp0vn8g4kd/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,425 PID:5985] [Rank: 0] Reading file: /tmp/tmp0vn8g4kd/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,425 PID:5988] [Rank: 1] Reading file: /tmp/tmp0vn8g4kd/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,439 PID:5988] [Rank: 1] Reading file: /tmp/tmp0vn8g4kd/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,439 PID:5985] [Rank: 0] Reading file: /tmp/tmp0vn8g4kd/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,450 PID:5988] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:41,451 PID:5988] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,450 PID:5985] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:41,451 PID:5985] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,455 PID:5985] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,455 PID:5988] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,455 PID:5985] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,455 PID:5988] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,455 PID:5985] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,456 PID:5988] Loading node feature[feat] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/feat-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,456 PID:5985] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,456 PID:5988] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,456 PID:5985] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,456 PID:5988] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5985] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5985] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5988] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5988] Loading node feature[label] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/label-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5985] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5988] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,457 PID:5985] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5988] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5985] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5985] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5988] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5988] Loading node feature[year] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/year-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5985] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,458 PID:5988] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-4.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5985] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5988] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-5.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5985] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5985] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5988] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-6.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,459 PID:5988] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0vn8g4kd/chunked-data/node_data/paper/orig_ids-7.npy [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5985] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:41,460 PID:5988] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution4.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,470 PID:5985] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,470 PID:5988] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution5.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,485 PID:5988] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution6.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,485 PID:5985] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,496 PID:5985] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,500 PID:5988] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:affiliated_with:institution7.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,509 PID:5985] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,513 PID:5988] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,519 PID:5985] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,523 PID:5988] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,530 PID:5985] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,539 PID:5985] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,537 PID:5988] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,547 PID:5988] Loading edges of etype[author:writes:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/author:writes:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,549 PID:5985] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,558 PID:5988] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,560 PID:5985] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,569 PID:5988] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,575 PID:5985] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,580 PID:5988] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,587 PID:5985] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,591 PID:5988] Loading edges of etype[paper:cites:paper] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:cites:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,611 PID:5985] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,614 PID:5988] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author4.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,632 PID:5988] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author5.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,632 PID:5985] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,650 PID:5988] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author6.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,657 PID:5985] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,670 PID:5988] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author7.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,678 PID:5985] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0vn8g4kd/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:35:41,691 PID:5988] [Rank: 1] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:41,691 PID:5988] [Rank: 1] Done reading dataset deom /tmp/tmp0vn8g4kd/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:41,698 PID:5985] [Rank: 0] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:41,698 PID:5985] [Rank: 0] Done reading dataset deom /tmp/tmp0vn8g4kd/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:41,765 PID:5988] [Rank: 1] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:41,765 PID:5988] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:41,765 PID:5985] [Rank: 0] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:41,765 PID:5985] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:41,766 PID:5988] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:41,766 PID:5985] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:41,811 PID:5988] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:41,811 PID:5985] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:41,860 PID:5988] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:41,860 PID:5985] [Rank: 0] processing node feature: paper/year PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] [8671a25bb4ef INFO 2022-10-18 06:35:41,904 PID:5988] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:41,905 PID:5985] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:41,988 PID:5988] [Rank: 1] Total time for node feature exchange: 0:00:00.222506 [8671a25bb4ef INFO 2022-10-18 06:35:41,988 PID:5985] [Rank: 0] Total time for node feature exchange: 0:00:00.222703 [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5988] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5988] [Rank: 1] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5988] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5985] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5985] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:41,989 PID:5985] [Rank: 0] Done with edge features exchange. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:35:42,206 PID:5988] [Rank: 1] Time to send/rcv edge data: 0:00:00.107397 [8671a25bb4ef INFO 2022-10-18 06:35:42,206 PID:5985] [Rank: 0] Time to send/rcv edge data: 0:00:00.107255 [8671a25bb4ef INFO 2022-10-18 06:35:42,292 PID:5985] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:42,295 PID:5988] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:42,343 PID:5985] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:42,345 PID:5988] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:42,346 PID:5985] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:42,346 PID:5988] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:42,411 PID:5988] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:42,411 PID:5985] [Rank: 0] Done assigning global_ids to edges ... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] [8671a25bb4ef INFO 2022-10-18 06:35:42,658 PID:5988] [Rank: 1] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:42,663 PID:5985] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] [8671a25bb4ef INFO 2022-10-18 06:35:42,971 PID:5988] There are 23978 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:35:43,119 PID:5985] There are 26422 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:43,145 PID:5988] [Rank: 1] Time to create dgl objects: 0:00:00.486577 [8671a25bb4ef INFO 2022-10-18 06:35:43,146 PID:5988] [Rank: 1] Total execution time of the program: 0:00:01.743883 [8671a25bb4ef INFO 2022-10-18 06:35:43,146 PID:5985] [Rank: 0] Time to create dgl objects: 0:00:00.482048 [8671a25bb4ef INFO 2022-10-18 06:35:43,146 PID:5985] [Rank: 0] Total execution time of the program: 0:00:01.744654 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:43,147 PID:5985] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:43,147 PID:5988] [Rank: 1] Done with Distributed data processing pipeline processing. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] PASSED [ 32%] tests/tools/test_dist_part.py::test_part_pipeline[3-1] PASSED [ 35%] tests/tools/test_dist_part.py::test_part_pipeline[3-2] PASSED [ 37%] tests/tools/test_dist_part.py::test_part_pipeline[3-3] Done with creating chunked graph PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] INFO:root:Changing directory to /tmp/tmp69l9x4ex/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp69l9x4ex/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp69l9x4ex/parted_data --input-dir /tmp/tmp69l9x4ex/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp69l9x4ex/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp69l9x4ex/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp69l9x4ex/parted_data --input-dir /tmp/tmp69l9x4ex/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp69l9x4ex/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp69l9x4ex/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp69l9x4ex/parted_data --input-dir /tmp/tmp69l9x4ex/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp69l9x4ex/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp69l9x4ex/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp69l9x4ex/parted_data --input-dir /tmp/tmp69l9x4ex/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp69l9x4ex/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.3' (ECDSA) to the list of known hosts. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] [8671a25bb4ef INFO 2022-10-18 06:35:49,087 PID:6332] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:49,093 PID:6338] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:49,093 PID:6336] Added key: store_based_barrier_key:1 to store for rank: 2 [8671a25bb4ef INFO 2022-10-18 06:35:49,094 PID:6338] Rank 1: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:49,094 PID:6336] Rank 2: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:49,098 PID:6332] Rank 0: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:49,098 PID:6332] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:49,098 PID:6332] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:49,099 PID:6338] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:49,099 PID:6338] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:49,100 PID:6332] [Rank: 0] Reading file: /tmp/tmp69l9x4ex/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,099 PID:6336] [Rank: 2] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:49,099 PID:6336] [Rank: 2] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:49,101 PID:6338] [Rank: 1] Reading file: /tmp/tmp69l9x4ex/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,101 PID:6336] [Rank: 2] Reading file: /tmp/tmp69l9x4ex/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,116 PID:6332] [Rank: 0] Reading file: /tmp/tmp69l9x4ex/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,124 PID:6338] [Rank: 1] Reading file: /tmp/tmp69l9x4ex/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,123 PID:6336] [Rank: 2] Reading file: /tmp/tmp69l9x4ex/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,133 PID:6332] [Rank: 0] Reading file: /tmp/tmp69l9x4ex/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,139 PID:6338] [Rank: 1] Reading file: /tmp/tmp69l9x4ex/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,141 PID:6336] [Rank: 2] Reading file: /tmp/tmp69l9x4ex/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,148 PID:6332] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:49,148 PID:6332] Loading node feature[feat] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,153 PID:6332] Loading node feature[label] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,154 PID:6338] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:49,154 PID:6336] [Rank: 2] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:49,154 PID:6332] Loading node feature[year] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,154 PID:6338] Loading node feature[feat] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,154 PID:6332] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,155 PID:6336] Loading node feature[feat] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,155 PID:6332] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:49,155 PID:6332] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,155 PID:6332] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,155 PID:6332] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,156 PID:6332] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:cites:paper/count-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,156 PID:6332] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/author:writes:paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,157 PID:6332] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,157 PID:6332] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,157 PID:6332] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,158 PID:6332] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,158 PID:6332] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,159 PID:6338] Loading node feature[label] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,159 PID:6336] Loading node feature[label] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,160 PID:6338] Loading node feature[year] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,160 PID:6336] Loading node feature[year] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,160 PID:6338] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,160 PID:6336] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp69l9x4ex/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6338] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6338] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6338] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6338] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6338] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:cites:paper/count-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6336] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6336] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6336] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6336] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [8671a25bb4ef INFO 2022-10-18 06:35:49,161 PID:6336] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:cites:paper/count-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,162 PID:6336] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/author:writes:paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,162 PID:6338] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/author:writes:paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,162 PID:6336] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,162 PID:6338] Loading numpy from /tmp/tmp69l9x4ex/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6336] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6336] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6336] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6338] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6338] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6338] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6338] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,163 PID:6336] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,169 PID:6332] Loading edges of etype[author:writes:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,174 PID:6338] Loading edges of etype[author:writes:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,174 PID:6336] Loading edges of etype[author:writes:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,180 PID:6332] Loading edges of etype[paper:cites:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,186 PID:6336] Loading edges of etype[paper:cites:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,186 PID:6338] Loading edges of etype[paper:cites:paper] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,197 PID:6332] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,201 PID:6338] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,202 PID:6336] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp69l9x4ex/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:49,211 PID:6332] [Rank: 0] Done reading edge_file: 4, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,212 PID:6332] [Rank: 0] Done reading dataset deom /tmp/tmp69l9x4ex/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:49,214 PID:6338] [Rank: 1] Done reading edge_file: 4, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,215 PID:6338] [Rank: 1] Done reading dataset deom /tmp/tmp69l9x4ex/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:49,218 PID:6336] [Rank: 2] Done reading edge_file: 4, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,218 PID:6336] [Rank: 2] Done reading dataset deom /tmp/tmp69l9x4ex/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:49,376 PID:6336] [Rank: 2] Done augmenting edge_data: 6, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,376 PID:6336] [Rank: 2] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:49,376 PID:6332] [Rank: 0] Done augmenting edge_data: 6, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6332] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6338] [Rank: 1] Done augmenting edge_data: 6, (16800,) [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6338] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6336] [Rank: 2] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6332] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:49,377 PID:6338] [Rank: 1] processing node feature: paper/feat PASSED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 87%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 87%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 87%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 87%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 87%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 87%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 88%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] [8671a25bb4ef INFO 2022-10-18 06:35:49,513 PID:6336] [Rank: 2] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:49,513 PID:6332] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:49,513 PID:6338] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:49,635 PID:6336] [Rank: 2] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:49,636 PID:6338] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:49,636 PID:6332] [Rank: 0] processing node feature: paper/year PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] [8671a25bb4ef INFO 2022-10-18 06:35:49,792 PID:6336] [Rank: 2] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:49,792 PID:6332] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:49,792 PID:6338] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:49,955 PID:6338] [Rank: 1] Total time for node feature exchange: 0:00:00.577660 [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6338] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6338] [Rank: 1] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6336] [Rank: 2] Total time for node feature exchange: 0:00:00.578593 [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6336] [Rank: 2] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6336] [Rank: 2] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6332] [Rank: 0] Total time for node feature exchange: 0:00:00.578736 [8671a25bb4ef INFO 2022-10-18 06:35:49,956 PID:6332] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:49,957 PID:6332] [Rank: 0] processing node feature: paper:cites:paper/count PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] [8671a25bb4ef INFO 2022-10-18 06:35:50,286 PID:6336] [Rank: 2] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:35:50,286 PID:6338] [Rank: 1] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:35:50,286 PID:6332] [Rank: 0] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:35:50,599 PID:6332] [Rank: 0] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:35:50,599 PID:6338] [Rank: 1] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:35:50,599 PID:6336] [Rank: 2] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6336] [Rank: 2] Total time for node feature exchange: 0:00:00.944400 [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6336] [Rank: 2] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6332] [Rank: 0] Total time for node feature exchange: 0:00:00.944466 [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6332] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6338] [Rank: 1] Total time for node feature exchange: 0:00:00.945243 [8671a25bb4ef INFO 2022-10-18 06:35:50,901 PID:6338] [Rank: 1] Done with edge features exchange. PASSED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] [8671a25bb4ef INFO 2022-10-18 06:35:51,234 PID:6336] [Rank: 2] Time to send/rcv edge data: 0:00:00.016131 [8671a25bb4ef INFO 2022-10-18 06:35:51,234 PID:6332] [Rank: 0] Time to send/rcv edge data: 0:00:00.015649 [8671a25bb4ef INFO 2022-10-18 06:35:51,235 PID:6338] [Rank: 1] Time to send/rcv edge data: 0:00:00.016153 [8671a25bb4ef INFO 2022-10-18 06:35:51,341 PID:6338] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:51,341 PID:6336] [Rank: 2] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:51,346 PID:6332] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:51,403 PID:6338] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:51,407 PID:6336] [Rank: 2] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:51,410 PID:6332] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:51,412 PID:6336] [Rank: 2] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:51,412 PID:6338] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:51,412 PID:6332] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:51,491 PID:6332] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:51,491 PID:6336] [Rank: 2] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:51,491 PID:6338] [Rank: 1] Done assigning global_ids to edges ... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] [8671a25bb4ef INFO 2022-10-18 06:35:51,545 PID:6332] [Rank: 0] key: paper:cites:paper/count v: torch.Size([7830]) [8671a25bb4ef INFO 2022-10-18 06:35:51,545 PID:6332] [Rank: 0] key: author:writes:paper/year v: torch.Size([3932]) [8671a25bb4ef INFO 2022-10-18 06:35:51,545 PID:6332] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3991]) [8671a25bb4ef INFO 2022-10-18 06:35:51,561 PID:6338] [Rank: 1] key: paper:cites:paper/count v: torch.Size([8059]) [8671a25bb4ef INFO 2022-10-18 06:35:51,561 PID:6338] [Rank: 1] key: author:writes:paper/year v: torch.Size([4068]) [8671a25bb4ef INFO 2022-10-18 06:35:51,561 PID:6338] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3952]) [8671a25bb4ef INFO 2022-10-18 06:35:51,567 PID:6336] [Rank: 2] key: paper:cites:paper/count v: torch.Size([8111]) [8671a25bb4ef INFO 2022-10-18 06:35:51,567 PID:6336] [Rank: 2] key: author:writes:paper/year v: torch.Size([4000]) [8671a25bb4ef INFO 2022-10-18 06:35:51,567 PID:6336] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([4057]) [8671a25bb4ef INFO 2022-10-18 06:35:51,656 PID:6332] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:51,656 PID:6338] [Rank: 1] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:35:51,656 PID:6336] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] [8671a25bb4ef INFO 2022-10-18 06:35:52,254 PID:6336] There are 16978 edges in partition 2 [8671a25bb4ef INFO 2022-10-18 06:35:52,254 PID:6332] There are 16555 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:35:52,255 PID:6338] There are 16867 edges in partition 1 PASSED [ 88%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] [8671a25bb4ef INFO 2022-10-18 06:35:52,365 PID:6336] [Rank: 2] Time to create dgl objects: 0:00:00.708775 [8671a25bb4ef INFO 2022-10-18 06:35:52,366 PID:6336] [Rank: 2] Total execution time of the program: 0:00:03.267101 [8671a25bb4ef INFO 2022-10-18 06:35:52,365 PID:6338] [Rank: 1] Time to create dgl objects: 0:00:00.708968 [8671a25bb4ef INFO 2022-10-18 06:35:52,366 PID:6338] [Rank: 1] Total execution time of the program: 0:00:03.267088 [8671a25bb4ef INFO 2022-10-18 06:35:52,366 PID:6336] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:52,366 PID:6332] [Rank: 0] Time to create dgl objects: 0:00:00.710176 [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:35:52,367 PID:6338] [Rank: 1] Done with Distributed data processing pipeline processing. [8671a25bb4ef INFO 2022-10-18 06:35:52,367 PID:6332] [Rank: 0] Total execution time of the program: 0:00:03.268689 [8671a25bb4ef INFO 2022-10-18 06:35:52,368 PID:6332] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.2 pydantic-1.10.2 pytz-2022.4 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.12.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 40%] tests/tools/test_dist_part.py::test_part_pipeline[3-4] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] Done with creating chunked graph PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 88%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 88%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 88%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 88%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 88%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (g...) [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 88%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 88%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 88%] 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tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] INFO:root:Changing directory to /tmp/tmp080pzpxr/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:428 python/dgl/backend/pytorch/tensor.py:428 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:428: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") tests/pytorch/test_dataloader.py::test_graph_dataloader /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/data/minigc.py:181: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/pytorch/test_dataloader.py: 82 warnings /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 312 warnings /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:78: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if PYTORCH_VER >= LooseVersion("1.10.0"): tests/pytorch/test_dataloader.py: 48 warnings /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/nn/pytorch/glob.py:732: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_x = th.tensor(lengths_x, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/nn/pytorch/glob.py:733: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). lengths_mem = th.tensor(lengths_mem, dtype=th.int64, device=device) tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/backend/pytorch/tensor.py:53: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /pytorch/aten/src/ATen/native/Copy.cpp:240.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4530@3/pytest_backend.xml - ============================ slowest 100 durations ============================= 26.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 20.26s call tests/pytorch/test_dist_optim.py::test_sparse_opt 6.58s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 6.56s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 6.22s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 4.26s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 4.23s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 3.98s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 3.77s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 3.77s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 3.76s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 3.64s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 3.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 3.25s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 2.94s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 2.88s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 2.84s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 2.77s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 2.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 2.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 2.49s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 2.28s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 2.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.99s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.99s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 1.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.82s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 1.79s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 1.79s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 1.77s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 1.64s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 1.61s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 1.61s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 1.60s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.60s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 1.38s call tests/pytorch/test_dataloader.py::test_saint[node-4] 1.34s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.34s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.31s call tests/pytorch/test_ipc.py::test_torch_ipc 1.31s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.27s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 1.21s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.16s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.11s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.08s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.03s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] 0.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 0.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 0.85s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 0.81s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 0.78s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.78s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.77s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.69s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.63s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] 0.61s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.59s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] 0.59s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.58s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] 0.57s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] 0.55s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 0.55s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.53s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] 0.51s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] 0.50s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.50s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 0.49s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.48s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] 0.48s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.46s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] 0.46s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] 0.46s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] 0.45s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.45s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] 0.43s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] 0.42s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.41s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.40s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.39s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] 0.39s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.39s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] 0.39s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] 0.38s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] 0.38s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] 0.38s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] 0.38s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.38s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.37s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] 0.36s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.36s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] 0.36s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.36s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] ========= 2974 passed, 359 skipped, 468 warnings in 307.17s (0:05:07) ========== PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh + rm -rf BA-2motifs BA-2motifs-as-graphpred BA-2motifs.pkl BA-COMMUNITY BA-SHAPES CMakeLists.txt CONTRIBUTORS.md DD DD-as-graphpred DD.zip GINDataset GINDataset.zip IMDBBINARY IMDBMULTI Jenkinsfile LICENSE MUTAG MUTAG-as-graphpred NEWS.md PROTEINS PTC README.md TREE-CYCLES TREE-GRIDS ZINC_test ZINC_test.zip aifb-hetero aifb-hetero-as-nodepred aifb-hetero.zip amazon amazon.zip amazon_co_buy_computer amazon_co_buy_computer-as-nodepred amazon_co_buy_computer.zip amazon_co_buy_photo amazon_co_buy_photo.zip apps benchmarks build citeseer citeseer.zip cluster_gcn.pkl cmake coauthor_cs coauthor_cs.zip coauthor_physics coauthor_physics.zip conda cora_full cora_full.zip cora_v2 cora_v2-as-linkpred cora_v2.zip dataset default_name-as-nodepred dglgo docker docs examples featgraph flickr flickr.zip gossipcop gossipcop.zip include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt politifact politifact-as-graphpred politifact.zip pubmed pubmed.zip pyproject.toml pytest_backend.xml pytest_compute.xml python qm7b qm7b-as-graphpred qm7b.mat qm9-as-graphpred qm9Edge-as-graphpred qm9_eV.npz qm9_edge.npz readthedocs.yml reddit reddit.zip src tensoradapter tests third_party tools tutorials wiki_cs wiki_cs.zip yelp yelp.zip PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp080pzpxr/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp080pzpxr/parted_data --input-dir /tmp/tmp080pzpxr/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp080pzpxr/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp080pzpxr/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp080pzpxr/parted_data --input-dir /tmp/tmp080pzpxr/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp080pzpxr/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp080pzpxr/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp080pzpxr/parted_data --input-dir /tmp/tmp080pzpxr/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp080pzpxr/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp080pzpxr/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp080pzpxr/parted_data --input-dir /tmp/tmp080pzpxr/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp080pzpxr/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] [8671a25bb4ef INFO 2022-10-18 06:35:58,269 PID:6828] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:35:58,279 PID:6827] Added key: store_based_barrier_key:1 to store for rank: 2 [8671a25bb4ef INFO 2022-10-18 06:35:58,279 PID:6831] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:35:58,280 PID:6831] Rank 1: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:58,280 PID:6827] Rank 2: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:58,280 PID:6828] Rank 0: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:35:58,280 PID:6828] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:58,280 PID:6828] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:58,281 PID:6827] [Rank: 2] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:58,281 PID:6827] [Rank: 2] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:58,281 PID:6831] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:35:58,282 PID:6831] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:35:58,282 PID:6828] [Rank: 0] Reading file: /tmp/tmp080pzpxr/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,283 PID:6831] [Rank: 1] Reading file: /tmp/tmp080pzpxr/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,283 PID:6827] [Rank: 2] Reading file: /tmp/tmp080pzpxr/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,298 PID:6828] [Rank: 0] Reading file: /tmp/tmp080pzpxr/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,298 PID:6827] [Rank: 2] Reading file: /tmp/tmp080pzpxr/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,299 PID:6831] [Rank: 1] Reading file: /tmp/tmp080pzpxr/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,311 PID:6828] [Rank: 0] Reading file: /tmp/tmp080pzpxr/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,313 PID:6827] [Rank: 2] Reading file: /tmp/tmp080pzpxr/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,315 PID:6831] [Rank: 1] Reading file: /tmp/tmp080pzpxr/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,324 PID:6828] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:58,324 PID:6828] Loading node feature[feat] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,327 PID:6827] [Rank: 2] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:58,327 PID:6827] Loading node feature[feat] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,332 PID:6827] Loading node feature[label] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,329 PID:6828] Loading node feature[feat] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,330 PID:6828] Loading node feature[label] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,330 PID:6828] Loading node feature[label] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,331 PID:6828] Loading node feature[year] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,331 PID:6828] Loading node feature[year] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,331 PID:6828] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,332 PID:6828] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,332 PID:6828] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6828] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6828] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6828] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6828] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6828] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,333 PID:6831] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:35:58,334 PID:6831] Loading node feature[feat] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,337 PID:6827] Loading node feature[year] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,337 PID:6827] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,338 PID:6827] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:58,338 PID:6827] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,338 PID:6827] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,338 PID:6827] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,338 PID:6827] [Rank: 2] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:58,339 PID:6827] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,340 PID:6831] Loading node feature[label] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,341 PID:6831] Loading node feature[year] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,341 PID:6831] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp080pzpxr/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:35:58,342 PID:6831] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:35:58,342 PID:6831] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,342 PID:6831] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,342 PID:6831] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:35:58,342 PID:6831] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:35:58,343 PID:6831] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,345 PID:6828] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,352 PID:6827] Loading edges of etype[author:writes:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,357 PID:6828] Loading edges of etype[author:writes:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,358 PID:6831] Loading edges of etype[author:writes:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,369 PID:6827] Loading edges of etype[paper:cites:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,373 PID:6828] Loading edges of etype[author:writes:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,376 PID:6831] Loading edges of etype[paper:cites:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,383 PID:6827] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,384 PID:6828] Loading edges of etype[paper:cites:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,389 PID:6831] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,394 PID:6828] Loading edges of etype[paper:cites:paper] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,394 PID:6827] [Rank: 2] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:35:58,394 PID:6827] [Rank: 2] Done reading dataset deom /tmp/tmp080pzpxr/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:58,400 PID:6831] [Rank: 1] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:35:58,400 PID:6831] [Rank: 1] Done reading dataset deom /tmp/tmp080pzpxr/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:58,413 PID:6828] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,434 PID:6828] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp080pzpxr/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:35:58,449 PID:6828] [Rank: 0] Done reading edge_file: 4, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:58,449 PID:6828] [Rank: 0] Done reading dataset deom /tmp/tmp080pzpxr/chunked-data [8671a25bb4ef INFO 2022-10-18 06:35:58,573 PID:6831] [Rank: 1] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:35:58,573 PID:6827] [Rank: 2] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:35:58,573 PID:6827] [Rank: 2] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:58,573 PID:6831] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:58,574 PID:6827] [Rank: 2] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:58,574 PID:6831] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:35:58,574 PID:6828] [Rank: 0] Done augmenting edge_data: 6, (25200,) [8671a25bb4ef INFO 2022-10-18 06:35:58,574 PID:6828] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:35:58,575 PID:6828] [Rank: 0] processing node feature: paper/feat PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] [8671a25bb4ef INFO 2022-10-18 06:35:58,773 PID:6828] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:58,773 PID:6827] [Rank: 2] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:58,773 PID:6831] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:35:58,914 PID:6827] [Rank: 2] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:58,914 PID:6828] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:35:58,915 PID:6831] [Rank: 1] processing node feature: paper/year [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@35a1143e; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [8671a25bb4ef INFO 2022-10-18 06:35:59,110 PID:6827] [Rank: 2] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:59,110 PID:6831] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:35:59,110 PID:6828] [Rank: 0] processing node feature: paper/orig_ids Fetching without tags PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6831] [Rank: 1] Total time for node feature exchange: 0:00:00.739573 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6828] [Rank: 0] Total time for node feature exchange: 0:00:00.738519 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6827] [Rank: 2] Total time for node feature exchange: 0:00:00.739917 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6827] [Rank: 2] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6831] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6831] [Rank: 1] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6828] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6831] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6828] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6828] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6827] [Rank: 2] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:35:59,314 PID:6827] [Rank: 2] Done with edge features exchange. Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [8671a25bb4ef INFO 2022-10-18 06:35:59,637 PID:6828] [Rank: 0] Time to send/rcv edge data: 0:00:00.047059 [8671a25bb4ef INFO 2022-10-18 06:35:59,642 PID:6831] [Rank: 1] Time to send/rcv edge data: 0:00:00.052238 [8671a25bb4ef INFO 2022-10-18 06:35:59,642 PID:6827] [Rank: 2] Time to send/rcv edge data: 0:00:00.052575 [8671a25bb4ef INFO 2022-10-18 06:35:59,703 PID:6831] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:59,719 PID:6828] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:59,732 PID:6831] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:59,740 PID:6827] [Rank: 2] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:35:59,773 PID:6828] [Rank: 0] Sorted node_data by node_type Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [8671a25bb4ef INFO 2022-10-18 06:35:59,792 PID:6827] [Rank: 2] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:35:59,794 PID:6827] [Rank: 2] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:59,794 PID:6828] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:59,795 PID:6831] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:35:59,879 PID:6827] [Rank: 2] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:59,879 PID:6831] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:35:59,879 PID:6828] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:00,005 PID:6828] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:00,005 PID:6827] [Rank: 2] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:00,006 PID:6831] [Rank: 1] Done resolving orig_node_id for local node_ids... Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@3/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] [8671a25bb4ef INFO 2022-10-18 06:36:00,575 PID:6827] There are 17014 edges in partition 2 [8671a25bb4ef INFO 2022-10-18 06:36:00,589 PID:6831] There are 16204 edges in partition 1 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] [Pipeline] sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] [8671a25bb4ef INFO 2022-10-18 06:36:00,608 PID:6828] There are 17182 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:36:00,698 PID:6827] [Rank: 2] Time to create dgl objects: 0:00:00.692897 [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6827] [Rank: 2] Total execution time of the program: 0:00:02.417304 [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6831] [Rank: 1] Time to create dgl objects: 0:00:00.692632 [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6831] [Rank: 1] Total execution time of the program: 0:00:02.417461 [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6827] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6831] [Rank: 1] Done with Distributed data processing pipeline processing. [8671a25bb4ef INFO 2022-10-18 06:36:00,699 PID:6828] [Rank: 0] Time to create dgl objects: 0:00:00.694020 [8671a25bb4ef INFO 2022-10-18 06:36:00,700 PID:6828] [Rank: 0] Total execution time of the program: 0:00:02.419283 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:00,700 PID:6828] [Rank: 0] Done with Distributed data processing pipeline processing. + git submodule update --recursive --init Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 43%] tests/tools/test_dist_part.py::test_part_pipeline[3-8] Done with creating chunked graph Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' collected 2433 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int64] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int64] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int32] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[int32] PASSED [ 0%] tests/compute/test_basics.py::test_repr[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int64] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int32] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int64] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int32] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int64] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int32] INFO:root:Changing directory to /tmp/tmpi47ddhw2/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int64] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int32] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int64] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%]/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpi47ddhw2/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpi47ddhw2/parted_data --input-dir /tmp/tmpi47ddhw2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpi47ddhw2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpi47ddhw2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpi47ddhw2/parted_data --input-dir /tmp/tmpi47ddhw2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpi47ddhw2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpi47ddhw2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpi47ddhw2/parted_data --input-dir /tmp/tmpi47ddhw2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpi47ddhw2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpi47ddhw2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpi47ddhw2/parted_data --input-dir /tmp/tmpi47ddhw2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpi47ddhw2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int64] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int64] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g1] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g0] [Pipeline] sh PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g1] + bash tests/scripts/task_example_test.sh cpu PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] [8671a25bb4ef INFO 2022-10-18 06:36:05,894 PID:7319] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:36:05,904 PID:7325] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:36:05,906 PID:7324] Added key: store_based_barrier_key:1 to store for rank: 2 [8671a25bb4ef INFO 2022-10-18 06:36:05,907 PID:7324] Rank 2: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:05,916 PID:7325] Rank 1: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:05,916 PID:7319] Rank 0: Completed store-based barrier for 3 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:05,916 PID:7319] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:05,917 PID:7319] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:05,917 PID:7325] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:05,917 PID:7325] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:05,917 PID:7324] [Rank: 2] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:05,917 PID:7324] [Rank: 2] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:05,920 PID:7319] [Rank: 0] Reading file: /tmp/tmpi47ddhw2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,920 PID:7325] [Rank: 1] Reading file: /tmp/tmpi47ddhw2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,920 PID:7324] [Rank: 2] Reading file: /tmp/tmpi47ddhw2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,940 PID:7319] [Rank: 0] Reading file: /tmp/tmpi47ddhw2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,940 PID:7325] [Rank: 1] Reading file: /tmp/tmpi47ddhw2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,944 PID:7324] [Rank: 2] Reading file: /tmp/tmpi47ddhw2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,957 PID:7319] [Rank: 0] Reading file: /tmp/tmpi47ddhw2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,957 PID:7325] [Rank: 1] Reading file: /tmp/tmpi47ddhw2/parted_data/paper.txt PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query [8671a25bb4ef INFO 2022-10-18 06:36:05,968 PID:7324] [Rank: 2] Reading file: /tmp/tmpi47ddhw2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,969 PID:7319] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:05,970 PID:7319] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,972 PID:7325] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:05,972 PID:7325] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,984 PID:7319] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,985 PID:7319] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,986 PID:7319] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,986 PID:7325] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,988 PID:7319] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,988 PID:7325] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,989 PID:7319] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,989 PID:7325] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,990 PID:7319] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,990 PID:7325] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,990 PID:7324] [Rank: 2] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:05,991 PID:7324] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,991 PID:7319] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,991 PID:7325] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,992 PID:7319] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,992 PID:7325] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,993 PID:7319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,993 PID:7325] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,994 PID:7319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,994 PID:7325] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,995 PID:7319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,995 PID:7325] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,996 PID:7319] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:05,996 PID:7319] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,996 PID:7325] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,997 PID:7319] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,997 PID:7319] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,997 PID:7319] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:05,997 PID:7325] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:05,998 PID:7319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:36:05,999 PID:7325] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:05,999 PID:7325] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,999 PID:7325] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,999 PID:7325] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [8671a25bb4ef INFO 2022-10-18 06:36:05,999 PID:7325] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:06,000 PID:7324] Loading node feature[feat] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/feat-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,000 PID:7325] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,001 PID:7324] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,002 PID:7324] Loading node feature[label] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/label-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,003 PID:7324] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,004 PID:7324] Loading node feature[year] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/year-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,004 PID:7324] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,005 PID:7324] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi47ddhw2/chunked-data/node_data/paper/orig_ids-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:06,006 PID:7324] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:06,006 PID:7324] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:06,006 PID:7324] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:06,006 PID:7324] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:06,007 PID:7324] [Rank: 2] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:06,007 PID:7324] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution6.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,014 PID:7319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,016 PID:7325] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution4.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,025 PID:7324] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution7.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,028 PID:7319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,034 PID:7325] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:affiliated_with:institution5.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,043 PID:7319] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,047 PID:7324] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,051 PID:7325] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,061 PID:7319] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,069 PID:7324] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,070 PID:7325] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,077 PID:7319] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,089 PID:7324] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,089 PID:7325] Loading edges of etype[author:writes:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/author:writes:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,093 PID:7319] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,104 PID:7325] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,106 PID:7324] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,112 PID:7319] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,119 PID:7325] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,128 PID:7319] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,128 PID:7324] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author6.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,131 PID:7325] Loading edges of etype[paper:cites:paper] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:cites:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,142 PID:7319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,143 PID:7325] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,147 PID:7324] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author7.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,154 PID:7325] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author4.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,155 PID:7319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,164 PID:7325] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author5.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,166 PID:7324] [Rank: 2] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:06,166 PID:7324] [Rank: 2] Done reading dataset deom /tmp/tmpi47ddhw2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:06,172 PID:7319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi47ddhw2/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:36:06,183 PID:7325] [Rank: 1] Done reading edge_file: 4, (18900,) [8671a25bb4ef INFO 2022-10-18 06:36:06,183 PID:7325] [Rank: 1] Done reading dataset deom /tmp/tmpi47ddhw2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:06,188 PID:7319] [Rank: 0] Done reading edge_file: 4, (18900,) [8671a25bb4ef INFO 2022-10-18 06:36:06,188 PID:7319] [Rank: 0] Done reading dataset deom /tmp/tmpi47ddhw2/chunked-data PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 6%] tests/compute/test_graph.py::test_default_types PASSED [ 6%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] [8671a25bb4ef INFO 2022-10-18 06:36:06,325 PID:7324] [Rank: 2] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:06,325 PID:7324] [Rank: 2] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:06,325 PID:7325] [Rank: 1] Done augmenting edge_data: 6, (18900,) [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7325] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7319] [Rank: 0] Done augmenting edge_data: 6, (18900,) [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7319] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7319] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7324] [Rank: 2] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:06,326 PID:7325] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:06,540 PID:7319] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:06,540 PID:7324] [Rank: 2] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:06,540 PID:7325] [Rank: 1] processing node feature: paper/label PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] [8671a25bb4ef INFO 2022-10-18 06:36:06,767 PID:7325] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:06,767 PID:7319] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:06,767 PID:7324] [Rank: 2] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:06,948 PID:7324] [Rank: 2] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:06,948 PID:7319] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:06,948 PID:7325] [Rank: 1] processing node feature: paper/orig_ids PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] [8671a25bb4ef INFO 2022-10-18 06:36:07,128 PID:7325] [Rank: 1] Total time for node feature exchange: 0:00:00.801705 [8671a25bb4ef INFO 2022-10-18 06:36:07,128 PID:7324] [Rank: 2] Total time for node feature exchange: 0:00:00.802252 [8671a25bb4ef INFO 2022-10-18 06:36:07,128 PID:7325] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7325] [Rank: 1] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7325] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7319] [Rank: 0] Total time for node feature exchange: 0:00:00.802419 [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7324] [Rank: 2] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7324] [Rank: 2] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7324] [Rank: 2] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:07,129 PID:7319] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:07,130 PID:7319] [Rank: 0] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:36:07,130 PID:7319] [Rank: 0] Done with edge features exchange. PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:36:07,462 PID:7319] [Rank: 0] Time to send/rcv edge data: 0:00:00.008808 [8671a25bb4ef INFO 2022-10-18 06:36:07,462 PID:7325] [Rank: 1] Time to send/rcv edge data: 0:00:00.008562 [8671a25bb4ef INFO 2022-10-18 06:36:07,462 PID:7324] [Rank: 2] Time to send/rcv edge data: 0:00:00.008856 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0144, 0.0125, 0.0066, 0.0115, 0.0126, 0.0101, 0.0162, 0.0072, 0.0101, 0.0049, 0.0093, 0.0068, 0.0096, 0.0063, 0.0126, 0.0093, 0.0094, 0.0051, 0.0097, 0.0048, 0.0129, 0.0094, 0.0101, 0.0065, 0.0079, 0.0071, 0.0183, 0.0066, 0.0130, 0.0097, 0.0144, 0.0032, 0.0099, 0.0071, 0.0096, 0.0159, 0.0096, 0.0080, 0.0118, 0.0186, 0.0081, 0.0143, 0.0118, 0.0131, 0.0173, 0.0095, 0.0070, 0.0108, 0.0070, 0.0066, 0.0045, 0.0109, 0.0063, 0.0048, 0.0185, 0.0101, 0.0115, 0.0080, 0.0033, 0.0094, 0.0119, 0.0083, 0.0097, 0.0086, 0.0106, 0.0081, 0.0113, 0.0083, 0.0146, 0.0048, 0.0065, 0.0141, 0.0096, 0.0100, 0.0114, 0.0166, 0.0130, 0.0101, 0.0107, 0.0077, 0.0097, 0.0095, 0.0097, 0.0174, 0.0046, 0.0083, 0.0097, 0.0063, 0.0093, 0.0068, 0.0110, 0.0133, 0.0134, 0.0095, 0.0122, 0.0096, 0.0095, 0.0096, 0.0092, 0.0137]) [8671a25bb4ef INFO 2022-10-18 06:36:07,522 PID:7319] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:07,523 PID:7325] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:07,555 PID:7324] [Rank: 2] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:07,563 PID:7325] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:07,564 PID:7319] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:07,615 PID:7324] [Rank: 2] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:07,617 PID:7325] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:07,617 PID:7324] [Rank: 2] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:07,617 PID:7319] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:07,705 PID:7319] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:07,705 PID:7324] [Rank: 2] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:07,705 PID:7325] [Rank: 1] Done assigning global_ids to edges ... PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] [8671a25bb4ef INFO 2022-10-18 06:36:07,821 PID:7324] [Rank: 2] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:07,822 PID:7319] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:07,822 PID:7325] [Rank: 1] Done resolving orig_node_id for local node_ids... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] [8671a25bb4ef INFO 2022-10-18 06:36:08,159 PID:7325] There are 17062 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:36:08,260 PID:7319] There are 16591 edges in partition 0 PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] [8671a25bb4ef INFO 2022-10-18 06:36:08,324 PID:7324] There are 16747 edges in partition 2 [8671a25bb4ef INFO 2022-10-18 06:36:08,346 PID:7324] [Rank: 2] Time to create dgl objects: 0:00:00.523884 [8671a25bb4ef INFO 2022-10-18 06:36:08,346 PID:7324] [Rank: 2] Total execution time of the program: 0:00:02.428936 [8671a25bb4ef INFO 2022-10-18 06:36:08,347 PID:7324] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:08,349 PID:7325] [Rank: 1] Time to create dgl objects: 0:00:00.526776 [8671a25bb4ef INFO 2022-10-18 06:36:08,350 PID:7325] [Rank: 1] Total execution time of the program: 0:00:02.433201 [8671a25bb4ef INFO 2022-10-18 06:36:08,351 PID:7325] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:08,351 PID:7319] [Rank: 0] Time to create dgl objects: 0:00:00.529152 [8671a25bb4ef INFO 2022-10-18 06:36:08,352 PID:7319] [Rank: 0] Total execution time of the program: 0:00:02.435698 [8671a25bb4ef INFO 2022-10-18 06:36:08,353 PID:7319] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] PASSED [ 7%]PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] tests/compute/test_heterograph.py::test_to_device2[g0-int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 45%] tests/tools/test_dist_part.py::test_part_pipeline[4-1] PASSED [ 48%] tests/tools/test_dist_part.py::test_part_pipeline[4-2] PASSED [ 51%] tests/tools/test_dist_part.py::test_part_pipeline[4-3] PASSED [ 54%] tests/tools/test_dist_part.py::test_part_pipeline[4-4] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_updates[int32] Done with creating chunked graph PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] INFO:root:Changing directory to /tmp/tmp84wode7z/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4530@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@3/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9460 | Accuracy 0.2520 Epoch 00001 | Loss 1.9394 | Accuracy 0.3080 Epoch 00002 | Loss 1.9314 | Accuracy 0.4900 Epoch 00003 | Loss 1.9221 | Accuracy 0.4000 Epoch 00004 | Loss 1.9131 | Accuracy 0.4080 Epoch 00005 | Loss 1.9018 | Accuracy 0.3960 Epoch 00006 | Loss 1.8843 | Accuracy 0.4080 Epoch 00007 | Loss 1.8745 | Accuracy 0.4320 Epoch 00008 | Loss 1.8594 | Accuracy 0.4760 Epoch 00009 | Loss 1.8458 | Accuracy 0.5160 Epoch 00010 | Loss 1.8350 | Accuracy 0.5220 Epoch 00011 | Loss 1.8161 | Accuracy 0.5320 Epoch 00012 | Loss 1.8054 | Accuracy 0.5320 Epoch 00013 | Loss 1.7924 | Accuracy 0.5300 Epoch 00014 | Loss 1.7770 | Accuracy 0.5420 Epoch 00015 | Loss 1.7584 | Accuracy 0.5680 Epoch 00016 | Loss 1.7483 | Accuracy 0.5880 Epoch 00017 | Loss 1.7313 | Accuracy 0.6040 Epoch 00018 | Loss 1.7078 | Accuracy 0.6240 Epoch 00019 | Loss 1.6952 | Accuracy 0.6400 Epoch 00020 | Loss 1.6573 | Accuracy 0.6480 Epoch 00021 | Loss 1.6520 | Accuracy 0.6580 Epoch 00022 | Loss 1.6262 | Accuracy 0.6680 Epoch 00023 | Loss 1.6188 | Accuracy 0.6860 Epoch 00024 | Loss 1.5832 | Accuracy 0.6900 Epoch 00025 | Loss 1.5858 | Accuracy 0.7020 Epoch 00026 | Loss 1.5539 | Accuracy 0.7040 Epoch 00027 | Loss 1.5274 | Accuracy 0.7100 Epoch 00028 | Loss 1.5189 | Accuracy 0.7160 Epoch 00029 | Loss 1.4650 | Accuracy 0.7240 Epoch 00030 | Loss 1.4614 | Accuracy 0.7280 Epoch 00031 | Loss 1.4620 | Accuracy 0.7340 Epoch 00032 | Loss 1.4318 | Accuracy 0.7340 Epoch 00033 | Loss 1.4276 | Accuracy 0.7340 Epoch 00034 | Loss 1.3948 | Accuracy 0.7400 Epoch 00035 | Loss 1.3529 | Accuracy 0.7480 Epoch 00036 | Loss 1.3214 | Accuracy 0.7420 Epoch 00037 | Loss 1.3327 | Accuracy 0.7440 Epoch 00038 | Loss 1.2769 | Accuracy 0.7540 Epoch 00039 | Loss 1.2684 | Accuracy 0.7580 Epoch 00040 | Loss 1.2539 | Accuracy 0.7560 Epoch 00041 | Loss 1.2296 | Accuracy 0.7600 Epoch 00042 | Loss 1.2019 | Accuracy 0.7660 Epoch 00043 | Loss 1.1756 | Accuracy 0.7700 Epoch 00044 | Loss 1.1960 | Accuracy 0.7700 Epoch 00045 | Loss 1.1561 | Accuracy 0.7720 Epoch 00046 | Loss 1.1259 | Accuracy 0.7780 Epoch 00047 | Loss 1.0745 | Accuracy 0.7780 Epoch 00048 | Loss 1.0944 | Accuracy 0.7780 Epoch 00049 | Loss 1.0807 | Accuracy 0.7800 Epoch 00050 | Loss 1.0481 | Accuracy 0.7820 Epoch 00051 | Loss 1.0085 | Accuracy 0.7820 Epoch 00052 | Loss 1.0047 | Accuracy 0.7820 Epoch 00053 | Loss 0.9778 | Accuracy 0.7820 Epoch 00054 | Loss 0.9843 | Accuracy 0.7840 Epoch 00055 | Loss 0.9569 | Accuracy 0.7820 Epoch 00056 | Loss 0.8993 | Accuracy 0.7840 Epoch 00057 | Loss 0.8831 | Accuracy 0.7880 Epoch 00058 | Loss 0.9152 | Accuracy 0.7860 Epoch 00059 | Loss 0.8604 | Accuracy 0.7820 Epoch 00060 | Loss 0.8730 | Accuracy 0.7840 Epoch 00061 | Loss 0.8726 | Accuracy 0.7860 Epoch 00062 | Loss 0.8254 | Accuracy 0.7840 Epoch 00063 | Loss 0.7968 | Accuracy 0.7880 Epoch 00064 | Loss 0.8019 | Accuracy 0.7880 Epoch 00065 | Loss 0.7807 | Accuracy 0.7900 Epoch 00066 | Loss 0.7513 | Accuracy 0.7920 Epoch 00067 | Loss 0.7404 | Accuracy 0.7900 Epoch 00068 | Loss 0.7415 | Accuracy 0.7880 Epoch 00069 | Loss 0.7529 | Accuracy 0.7860 Epoch 00070 | Loss 0.7090 | Accuracy 0.7880 Epoch 00071 | Loss 0.7071 | Accuracy 0.7900 Epoch 00072 | Loss 0.7373 | Accuracy 0.7920 Epoch 00073 | Loss 0.6784 | Accuracy 0.7920 Epoch 00074 | Loss 0.6820 | Accuracy 0.7940 Epoch 00075 | Loss 0.6890 | Accuracy 0.7940 Epoch 00076 | Loss 0.6723 | Accuracy 0.7920 Epoch 00077 | Loss 0.6763 | Accuracy 0.7920 Epoch 00078 | Loss 0.6626 | Accuracy 0.7900 Epoch 00079 | Loss 0.6232 | Accuracy 0.7820 Epoch 00080 | Loss 0.6015 | Accuracy 0.7780 Epoch 00081 | Loss 0.5925 | Accuracy 0.7760 Epoch 00082 | Loss 0.6136 | Accuracy 0.7780 Epoch 00083 | Loss 0.6078 | Accuracy 0.7800 Epoch 00084 | Loss 0.5828 | Accuracy 0.7860 Epoch 00085 | Loss 0.6267 | Accuracy 0.7940 Epoch 00086 | Loss 0.6025 | Accuracy 0.7960 Epoch 00087 | Loss 0.5983 | Accuracy 0.7960 Epoch 00088 | Loss 0.5424 | Accuracy 0.7940 Epoch 00089 | Loss 0.5428 | Accuracy 0.7940 Epoch 00090 | Loss 0.5739 | Accuracy 0.7940 Epoch 00091 | Loss 0.5317 | Accuracy 0.7940 Epoch 00092 | Loss 0.5330 | Accuracy 0.7920 Epoch 00093 | Loss 0.5389 | Accuracy 0.7880 Epoch 00094 | Loss 0.5470 | Accuracy 0.7840 Epoch 00095 | Loss 0.5361 | Accuracy 0.7840 Epoch 00096 | Loss 0.5387 | Accuracy 0.7840 Epoch 00097 | Loss 0.4986 | Accuracy 0.7800 Epoch 00098 | Loss 0.5284 | Accuracy 0.7820 Epoch 00099 | Loss 0.5629 | Accuracy 0.7800 Epoch 00100 | Loss 0.5328 | Accuracy 0.7840 Epoch 00101 | Loss 0.4967 | Accuracy 0.7920 Epoch 00102 | Loss 0.4892 | Accuracy 0.7920 Epoch 00103 | Loss 0.5064 | Accuracy 0.7920 Epoch 00104 | Loss 0.5170 | Accuracy 0.7940 Epoch 00105 | Loss 0.4484 | Accuracy 0.7900 Epoch 00106 | Loss 0.4781 | Accuracy 0.7920 Epoch 00107 | Loss 0.4932 | Accuracy 0.7920 Epoch 00108 | Loss 0.4667 | Accuracy 0.7860 Epoch 00109 | Loss 0.4620 | Accuracy 0.7880 Epoch 00110 | Loss 0.4690 | Accuracy 0.7920 Epoch 00111 | Loss 0.4313 | Accuracy 0.7920 Epoch 00112 | Loss 0.4552 | Accuracy 0.7860 Epoch 00113 | Loss 0.4272 | Accuracy 0.7780 Epoch 00114 | Loss 0.4591 | Accuracy 0.7840 Epoch 00115 | Loss 0.4629 | Accuracy 0.7820 Epoch 00116 | Loss 0.4288 | Accuracy 0.7860 Epoch 00117 | Loss 0.4655 | Accuracy 0.7880 Epoch 00118 | Loss 0.4631 | Accuracy 0.7860 Epoch 00119 | Loss 0.4574 | Accuracy 0.7880 Epoch 00120 | Loss 0.4442 | Accuracy 0.7880 Epoch 00121 | Loss 0.4037 | Accuracy 0.7860 Epoch 00122 | Loss 0.4600 | Accuracy 0.7860 Epoch 00123 | Loss 0.4243 | Accuracy 0.7840 Epoch 00124 | Loss 0.3897 | Accuracy 0.7860 Epoch 00125 | Loss 0.4193 | Accuracy 0.7860 Epoch 00126 | Loss 0.4080 | Accuracy 0.7820 Epoch 00127 | Loss 0.3978 | Accuracy 0.7860 Epoch 00128 | Loss 0.4120 | Accuracy 0.7840 Epoch 00129 | Loss 0.4006 | Accuracy 0.7840 Epoch 00130 | Loss 0.4174 | Accuracy 0.7880 Epoch 00131 | Loss 0.4026 | Accuracy 0.7880 Epoch 00132 | Loss 0.4147 | Accuracy 0.7880 Epoch 00133 | Loss 0.3873 | Accuracy 0.7860 Epoch 00134 | Loss 0.3857 | Accuracy 0.7880 Epoch 00135 | Loss 0.3605 | Accuracy 0.7900 Epoch 00136 | Loss 0.3666 | Accuracy 0.7880 Epoch 00137 | Loss 0.3752 | Accuracy 0.7840 Epoch 00138 | Loss 0.3957 | Accuracy 0.7880 Epoch 00139 | Loss 0.4062 | Accuracy 0.7840 Epoch 00140 | Loss 0.3898 | Accuracy 0.7840 Epoch 00141 | Loss 0.4179 | Accuracy 0.7860 Epoch 00142 | Loss 0.3651 | Accuracy 0.7860 Epoch 00143 | Loss 0.3613 | Accuracy 0.7880 Epoch 00144 | Loss 0.3731 | Accuracy 0.7900 Epoch 00145 | Loss 0.3686 | Accuracy 0.7840 Epoch 00146 | Loss 0.4051 | Accuracy 0.7860 Epoch 00147 | Loss 0.3918 | Accuracy 0.7920 Epoch 00148 | Loss 0.3954 | Accuracy 0.7880 Epoch 00149 | Loss 0.3693 | Accuracy 0.7920 Epoch 00150 | Loss 0.3478 | Accuracy 0.7880 Epoch 00151 | Loss 0.3506 | Accuracy 0.7740 Epoch 00152 | Loss 0.3638 | Accuracy 0.7780 Epoch 00153 | Loss 0.3501 | Accuracy 0.7780 Epoch 00154 | Loss 0.3654 | Accuracy 0.7820 Epoch 00155 | Loss 0.3655 | Accuracy 0.7820 Epoch 00156 | Loss 0.3482 | Accuracy 0.7880 Epoch 00157 | Loss 0.3705 | Accuracy 0.7920 Epoch 00158 | Loss 0.3601 | Accuracy 0.7920 Epoch 00159 | Loss 0.3467 | Accuracy 0.7920 Epoch 00160 | Loss 0.3561 | Accuracy 0.7940 Epoch 00161 | Loss 0.3605 | Accuracy 0.7920 Epoch 00162 | Loss 0.3668 | Accuracy 0.7900 Epoch 00163 | Loss 0.3217 | Accuracy 0.7900 Epoch 00164 | Loss 0.3092 | Accuracy 0.7900 Epoch 00165 | Loss 0.3525 | Accuracy 0.7880 Epoch 00166 | Loss 0.3240 | Accuracy 0.7880 Epoch 00167 | Loss 0.3436 | Accuracy 0.7880 Epoch 00168 | Loss 0.3176 | Accuracy 0.7920 Epoch 00169 | Loss 0.3587 | Accuracy 0.7880 Epoch 00170 | Loss 0.3365 | Accuracy 0.7860 Epoch 00171 | Loss 0.3186 | Accuracy 0.7920 PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins Epoch 00172 | Loss 0.3113 | Accuracy 0.7920 Epoch 00173 | Loss 0.3082 | Accuracy 0.7900 Epoch 00174 | Loss 0.3098 | Accuracy 0.7960 Epoch 00175 | Loss 0.2874 | Accuracy 0.7920 Epoch 00176 | Loss 0.3281 | Accuracy 0.7860 Epoch 00177 | Loss 0.2988 | Accuracy 0.7900 Epoch 00178 | Loss 0.3072 | Accuracy 0.7840 Epoch 00179 | Loss 0.3084 | Accuracy 0.7860 Epoch 00180 | Loss 0.2917 | Accuracy 0.7900 Epoch 00181 | Loss 0.3214 | Accuracy 0.7860 Epoch 00182 | Loss 0.2991 | Accuracy 0.7800 Epoch 00183 | Loss 0.3381 | Accuracy 0.7800 Epoch 00184 | Loss 0.3078 | Accuracy 0.7860 Epoch 00185 | Loss 0.3242 | Accuracy 0.7860 Epoch 00186 | Loss 0.3057 | Accuracy 0.7860 Epoch 00187 | Loss 0.3431 | Accuracy 0.7840 Epoch 00188 | Loss 0.3201 | Accuracy 0.7860 Epoch 00189 | Loss 0.3244 | Accuracy 0.7860 Epoch 00190 | Loss 0.3270 | Accuracy 0.7900 Epoch 00191 | Loss 0.3207 | Accuracy 0.7880 Epoch 00192 | Loss 0.3531 | Accuracy 0.7880 Epoch 00193 | Loss 0.2957 | Accuracy 0.7860 Epoch 00194 | Loss 0.3360 | Accuracy 0.7800 Epoch 00195 | Loss 0.3199 | Accuracy 0.7820 Epoch 00196 | Loss 0.2833 | Accuracy 0.7820 Epoch 00197 | Loss 0.2881 | Accuracy 0.7820 Epoch 00198 | Loss 0.3120 | Accuracy 0.7840 Epoch 00199 | Loss 0.2876 | Accuracy 0.7860 Testing... Test accuracy 0.8130 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp84wode7z/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp84wode7z/parted_data --input-dir /tmp/tmp84wode7z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp84wode7z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp84wode7z/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp84wode7z/parted_data --input-dir /tmp/tmp84wode7z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp84wode7z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp84wode7z/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp84wode7z/parted_data --input-dir /tmp/tmp84wode7z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp84wode7z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp84wode7z/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp84wode7z/parted_data --input-dir /tmp/tmp84wode7z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp84wode7z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp84wode7z/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp84wode7z/parted_data --input-dir /tmp/tmp84wode7z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp84wode7z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.4' (ECDSA) to the list of known hosts. PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] lda/lda_model.py:38: UserWarning: cached_property not found - using property instead warnings.warn("cached_property not found - using property instead") Testing LatentDirichletAllocation ... {'prior': {'doc': 0.1, 'word': 0.1}, 'rho': 1, 'mult': {'doc': 1, 'word': 1}, 'init': {'doc': (100.0, 100.0), 'word': (100.0, 100.0)}, 'word_data': [tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5627e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1490e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! [Pipeline] } [Pipeline] // timeout PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) [Pipeline] sh PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cmake conda cora_v2 cora_v2.zip dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g1] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@15ced705; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] Fetching without tags [8671a25bb4ef INFO 2022-10-18 06:36:14,356 PID:7995] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:36:14,356 PID:8004] Added key: store_based_barrier_key:1 to store for rank: 2 [8671a25bb4ef INFO 2022-10-18 06:36:14,367 PID:7998] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:36:14,368 PID:8002] Added key: store_based_barrier_key:1 to store for rank: 3 [8671a25bb4ef INFO 2022-10-18 06:36:14,369 PID:8002] Rank 3: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:14,378 PID:7995] Rank 0: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:14,378 PID:7995] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:14,378 PID:7995] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:14,378 PID:7998] Rank 1: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:14,378 PID:8004] Rank 2: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:14,379 PID:8002] [Rank: 3] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:14,380 PID:8002] [Rank: 3] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:14,380 PID:7998] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:14,380 PID:7998] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:14,380 PID:8004] [Rank: 2] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:14,381 PID:8004] [Rank: 2] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:14,381 PID:7995] [Rank: 0] Reading file: /tmp/tmp84wode7z/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,382 PID:8002] [Rank: 3] Reading file: /tmp/tmp84wode7z/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,383 PID:7998] [Rank: 1] Reading file: /tmp/tmp84wode7z/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,384 PID:8004] [Rank: 2] Reading file: /tmp/tmp84wode7z/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,407 PID:7995] [Rank: 0] Reading file: /tmp/tmp84wode7z/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,409 PID:7998] [Rank: 1] Reading file: /tmp/tmp84wode7z/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,409 PID:8004] [Rank: 2] Reading file: /tmp/tmp84wode7z/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,425 PID:8002] [Rank: 3] Reading file: /tmp/tmp84wode7z/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,431 PID:7995] [Rank: 0] Reading file: /tmp/tmp84wode7z/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,432 PID:7998] [Rank: 1] Reading file: /tmp/tmp84wode7z/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,433 PID:8004] [Rank: 2] Reading file: /tmp/tmp84wode7z/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,442 PID:8002] [Rank: 3] Reading file: /tmp/tmp84wode7z/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,453 PID:7995] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:14,454 PID:7995] Loading node feature[feat] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,454 PID:7998] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:14,454 PID:7998] Loading node feature[feat] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,455 PID:8004] [Rank: 2] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:14,455 PID:8004] Loading node feature[feat] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,458 PID:8002] [Rank: 3] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:14,458 PID:8002] Loading node feature[feat] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,462 PID:7995] Loading node feature[label] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,463 PID:7998] Loading node feature[label] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,463 PID:7995] Loading node feature[year] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,463 PID:7998] Loading node feature[year] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,464 PID:8004] Loading node feature[label] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,464 PID:7995] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,464 PID:7998] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,464 PID:8004] Loading node feature[year] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7995] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7995] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7995] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7995] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7995] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:cites:paper/count-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:8004] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7998] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7998] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7998] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7998] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,465 PID:7998] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:cites:paper/count-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:7995] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/author:writes:paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8002] Loading node feature[label] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8004] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8004] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8004] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8004] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:8004] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:cites:paper/count-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:7995] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,466 PID:7998] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/author:writes:paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7998] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:8002] Loading node feature[year] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:8004] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/author:writes:paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7995] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7995] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7995] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7998] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7998] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7998] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:8002] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp84wode7z/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,467 PID:7995] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp84wode7z/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,468 PID:8004] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,468 PID:7998] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp84wode7z/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,468 PID:8002] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:14,468 PID:8002] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8002] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8002] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8002] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:cites:paper/count-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8004] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8004] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8004] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8004] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp84wode7z/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,469 PID:8002] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/author:writes:paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,470 PID:8002] Loading numpy from /tmp/tmp84wode7z/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:14,471 PID:8002] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,471 PID:8002] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,471 PID:8002] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [8671a25bb4ef INFO 2022-10-18 06:36:14,471 PID:8002] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp84wode7z/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,486 PID:7995] Loading edges of etype[author:writes:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,486 PID:7998] Loading edges of etype[author:writes:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,487 PID:8002] Loading edges of etype[author:writes:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,488 PID:8004] Loading edges of etype[author:writes:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,502 PID:8002] Loading edges of etype[paper:cites:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,505 PID:8004] Loading edges of etype[paper:cites:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,510 PID:7998] Loading edges of etype[paper:cites:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,510 PID:7995] Loading edges of etype[paper:cites:paper] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,517 PID:8002] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,523 PID:8004] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,531 PID:8002] [Rank: 3] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,531 PID:8002] [Rank: 3] Done reading dataset deom /tmp/tmp84wode7z/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:14,534 PID:7995] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,534 PID:7998] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp84wode7z/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:36:14,546 PID:8004] [Rank: 2] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,546 PID:8004] [Rank: 2] Done reading dataset deom /tmp/tmp84wode7z/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:14,555 PID:7995] [Rank: 0] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,556 PID:7995] [Rank: 0] Done reading dataset deom /tmp/tmp84wode7z/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:14,559 PID:7998] [Rank: 1] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,559 PID:7998] [Rank: 1] Done reading dataset deom /tmp/tmp84wode7z/chunked-data Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:7998] [Rank: 1] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:7998] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:8004] [Rank: 2] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:8004] [Rank: 2] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:7995] [Rank: 0] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:7995] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:8002] [Rank: 3] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:8002] [Rank: 3] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:7998] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:14,753 PID:8004] [Rank: 2] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:14,754 PID:7995] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:14,754 PID:8002] [Rank: 3] processing node feature: paper/feat PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g0] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) [8671a25bb4ef INFO 2022-10-18 06:36:15,070 PID:7995] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:15,070 PID:7998] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:15,071 PID:8002] [Rank: 3] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:15,071 PID:8004] [Rank: 2] processing node feature: paper/label > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@3/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace [8671a25bb4ef INFO 2022-10-18 06:36:15,316 PID:8002] [Rank: 3] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:15,317 PID:8004] [Rank: 2] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:15,317 PID:7995] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:15,317 PID:7998] [Rank: 1] processing node feature: paper/year PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] [8671a25bb4ef INFO 2022-10-18 06:36:15,587 PID:7998] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:15,587 PID:8004] [Rank: 2] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:15,587 PID:7995] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:15,587 PID:8002] [Rank: 3] processing node feature: paper/orig_ids > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] [8671a25bb4ef INFO 2022-10-18 06:36:15,866 PID:8002] [Rank: 3] Total time for node feature exchange: 0:00:01.112321 [8671a25bb4ef INFO 2022-10-18 06:36:15,866 PID:7998] [Rank: 1] Total time for node feature exchange: 0:00:01.112838 [8671a25bb4ef INFO 2022-10-18 06:36:15,866 PID:8004] [Rank: 2] Total time for node feature exchange: 0:00:01.112901 [8671a25bb4ef INFO 2022-10-18 06:36:15,866 PID:7995] [Rank: 0] Total time for node feature exchange: 0:00:01.112736 [8671a25bb4ef INFO 2022-10-18 06:36:15,866 PID:8002] [Rank: 3] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:8002] [Rank: 3] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:7995] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:7995] [Rank: 0] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:8004] [Rank: 2] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:8004] [Rank: 2] processing node feature: paper:cites:paper/count [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:7998] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:15,867 PID:7998] [Rank: 1] processing node feature: paper:cites:paper/count + git submodule update --recursive --init Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' [8671a25bb4ef INFO 2022-10-18 06:36:16,518 PID:8002] [Rank: 3] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:36:16,518 PID:7995] [Rank: 0] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:36:16,518 PID:7998] [Rank: 1] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:36:16,518 PID:8004] [Rank: 2] processing node feature: author:writes:paper/year [8671a25bb4ef INFO 2022-10-18 06:36:17,161 PID:8004] [Rank: 2] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:36:17,161 PID:7998] [Rank: 1] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:36:17,162 PID:8002] [Rank: 3] processing node feature: paper:rev_writes:author/year [8671a25bb4ef INFO 2022-10-18 06:36:17,162 PID:7995] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' [8671a25bb4ef INFO 2022-10-18 06:36:17,771 PID:7998] [Rank: 1] Total time for node feature exchange: 0:00:01.904458 [8671a25bb4ef INFO 2022-10-18 06:36:17,771 PID:7998] [Rank: 1] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:17,771 PID:7995] [Rank: 0] Total time for node feature exchange: 0:00:01.904301 [8671a25bb4ef INFO 2022-10-18 06:36:17,772 PID:7995] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:17,772 PID:8002] [Rank: 3] Total time for node feature exchange: 0:00:01.905025 [8671a25bb4ef INFO 2022-10-18 06:36:17,772 PID:8002] [Rank: 3] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:17,772 PID:8004] [Rank: 2] Total time for node feature exchange: 0:00:01.905155 [8671a25bb4ef INFO 2022-10-18 06:36:17,772 PID:8004] [Rank: 2] Done with edge features exchange. Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:36:18,270 PID:8002] [Rank: 3] Time to send/rcv edge data: 0:00:00.012761 [8671a25bb4ef INFO 2022-10-18 06:36:18,270 PID:7998] [Rank: 1] Time to send/rcv edge data: 0:00:00.011965 [8671a25bb4ef INFO 2022-10-18 06:36:18,270 PID:7995] [Rank: 0] Time to send/rcv edge data: 0:00:00.013016 [8671a25bb4ef INFO 2022-10-18 06:36:18,271 PID:8004] [Rank: 2] Time to send/rcv edge data: 0:00:00.012703 [8671a25bb4ef INFO 2022-10-18 06:36:18,363 PID:7995] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:18,366 PID:8002] [Rank: 3] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:18,379 PID:7998] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:18,381 PID:8004] [Rank: 2] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:18,409 PID:8002] [Rank: 3] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:18,439 PID:7995] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:18,452 PID:7998] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:18,456 PID:8004] [Rank: 2] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:18,458 PID:7998] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:18,458 PID:8002] [Rank: 3] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:18,458 PID:8004] [Rank: 2] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:18,458 PID:7995] [Rank: 0] Done assigning global-ids to nodes... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' [8671a25bb4ef INFO 2022-10-18 06:36:18,530 PID:8004] [Rank: 2] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:18,530 PID:7995] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:18,530 PID:7998] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:18,531 PID:8002] [Rank: 3] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:18,582 PID:8004] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6148]) [8671a25bb4ef INFO 2022-10-18 06:36:18,582 PID:8004] [Rank: 2] key: author:writes:paper/year v: torch.Size([3088]) [8671a25bb4ef INFO 2022-10-18 06:36:18,582 PID:8004] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2929]) [8671a25bb4ef INFO 2022-10-18 06:36:18,585 PID:8002] [Rank: 3] key: paper:cites:paper/count v: torch.Size([6267]) [8671a25bb4ef INFO 2022-10-18 06:36:18,585 PID:8002] [Rank: 3] key: author:writes:paper/year v: torch.Size([3192]) [8671a25bb4ef INFO 2022-10-18 06:36:18,585 PID:8002] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([2816]) [8671a25bb4ef INFO 2022-10-18 06:36:18,592 PID:7998] [Rank: 1] key: paper:cites:paper/count v: torch.Size([6057]) [8671a25bb4ef INFO 2022-10-18 06:36:18,593 PID:7998] [Rank: 1] key: author:writes:paper/year v: torch.Size([2969]) [8671a25bb4ef INFO 2022-10-18 06:36:18,593 PID:7995] [Rank: 0] key: paper:cites:paper/count v: torch.Size([5528]) [8671a25bb4ef INFO 2022-10-18 06:36:18,593 PID:7995] [Rank: 0] key: author:writes:paper/year v: torch.Size([2751]) [8671a25bb4ef INFO 2022-10-18 06:36:18,593 PID:7995] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3239]) [8671a25bb4ef INFO 2022-10-18 06:36:18,593 PID:7998] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3016]) [8671a25bb4ef INFO 2022-10-18 06:36:18,772 PID:7995] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:18,773 PID:8002] [Rank: 3] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:18,773 PID:8004] [Rank: 2] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:18,773 PID:7998] [Rank: 1] Done resolving orig_node_id for local node_ids... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' [8671a25bb4ef INFO 2022-10-18 06:36:19,133 PID:8002] There are 12934 edges in partition 3 Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [8671a25bb4ef INFO 2022-10-18 06:36:19,366 PID:8004] There are 12756 edges in partition 2 [8671a25bb4ef INFO 2022-10-18 06:36:19,381 PID:7995] There are 12111 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:36:19,403 PID:7998] There are 12599 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:36:19,485 PID:7998] [Rank: 1] Time to create dgl objects: 0:00:00.712027 [8671a25bb4ef INFO 2022-10-18 06:36:19,485 PID:8004] [Rank: 2] Time to create dgl objects: 0:00:00.712287 [8671a25bb4ef INFO 2022-10-18 06:36:19,485 PID:8002] [Rank: 3] Time to create dgl objects: 0:00:00.712376 [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:7998] [Rank: 1] Total execution time of the program: 0:00:05.105679 [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:8002] [Rank: 3] Total execution time of the program: 0:00:05.106222 [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:8004] [Rank: 2] Total execution time of the program: 0:00:05.105100 [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:7998] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:8004] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:8002] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:19,486 PID:7995] [Rank: 0] Time to create dgl objects: 0:00:00.713721 [8671a25bb4ef INFO 2022-10-18 06:36:19,487 PID:7995] [Rank: 0] Total execution time of the program: 0:00:05.108476 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:19,487 PID:7995] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g0] [Pipeline] sh PASSED [ 56%] tests/tools/test_dist_part.py::test_part_pipeline[4-8] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] Done with creating chunked graph + bash tests/scripts/task_pytorch_tutorial_test.sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] Requirement already satisfied: networkx>=2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (2.6.3) Requirement already satisfied: torch in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.9.0+cpu) Requirement already satisfied: numpy in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.21.6) Collecting seaborn Downloading seaborn-0.12.0-py3-none-any.whl (285 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 285.1/285.1 kB 9.6 MB/s eta 0:00:00 Requirement already satisfied: matplotlib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (3.5.3) PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int32] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int64] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int32] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int64] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_support PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int64] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int32] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] PASSED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int64] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int64] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] SKIPPED [ 13%] tests/compute/test_random.py::test_random_choice SKIPPED (GPU random...) [ 13%] tests/compute/test_readout.py::test_sum_case1[int32] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int64] Collecting pygraphviz Downloading pygraphviz-1.7.zip (118 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.8/118.8 kB 12.4 MB/s eta 0:00:00 Preparing metadata (setup.py): started PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int32] INFO:root:Changing directory to /tmp/tmplo50kqz2/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4530@4 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int64] PASSED [ 16%] 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tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int64] PASSED [ 16%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int64] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmplo50kqz2/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmplo50kqz2/parted_data --input-dir /tmp/tmplo50kqz2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmplo50kqz2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmplo50kqz2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmplo50kqz2/parted_data --input-dir /tmp/tmplo50kqz2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmplo50kqz2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmplo50kqz2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmplo50kqz2/parted_data --input-dir /tmp/tmplo50kqz2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmplo50kqz2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmplo50kqz2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmplo50kqz2/parted_data --input-dir /tmp/tmplo50kqz2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmplo50kqz2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmplo50kqz2/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4530@4/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4530@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmplo50kqz2/parted_data --input-dir /tmp/tmplo50kqz2/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmplo50kqz2/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Preparing metadata (setup.py): finished with status 'done' Collecting graphviz Downloading graphviz-0.20.1-py3-none-any.whl (47 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.0/47.0 kB 5.0 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (1.1.5) Requirement already satisfied: rdflib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (6.2.0) Requirement already satisfied: typing-extensions in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from torch->-r requirements.txt (line 2)) (4.3.0) Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (0.11.0) Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (9.2.0) Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (21.3) Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (1.4.4) Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (3.0.9) Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (2.8.2) Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (4.35.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas->-r requirements.txt (line 8)) (2022.2.1) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (61.2.0) Requirement already satisfied: importlib-metadata in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (4.12.0) Requirement already satisfied: isodate in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (0.6.1) Requirement already satisfied: six>=1.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from python-dateutil>=2.7->matplotlib->-r requirements.txt (line 5)) (1.16.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata->rdflib->-r requirements.txt (line 9)) (3.8.1) PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] Building wheels for collected packages: pygraphviz Building wheel for pygraphviz (setup.py): started PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g0] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 20%][8671a25bb4ef INFO 2022-10-18 06:36:24,335 PID:8649] Added key: store_based_barrier_key:1 to store for rank: 0 [8671a25bb4ef INFO 2022-10-18 06:36:24,346 PID:8648] Added key: store_based_barrier_key:1 to store for rank: 1 [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8653] Added key: store_based_barrier_key:1 to store for rank: 2 [8671a25bb4ef INFO 2022-10-18 06:36:24,356 PID:8655] Added key: store_based_barrier_key:1 to store for rank: 3 [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8648] Rank 1: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8655] Rank 3: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8653] Rank 2: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8649] Rank 0: Completed store-based barrier for 4 nodes. [8671a25bb4ef INFO 2022-10-18 06:36:24,357 PID:8649] [Rank: 0] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8649] [Rank: 0] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8653] [Rank: 2] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8653] [Rank: 2] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8648] [Rank: 1] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8648] [Rank: 1] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8655] [Rank: 3] Done with process group initialization... [8671a25bb4ef INFO 2022-10-18 06:36:24,358 PID:8655] [Rank: 3] Starting distributed data processing pipeline... [8671a25bb4ef INFO 2022-10-18 06:36:24,361 PID:8649] [Rank: 0] Reading file: /tmp/tmplo50kqz2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,361 PID:8653] [Rank: 2] Reading file: /tmp/tmplo50kqz2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,361 PID:8648] [Rank: 1] Reading file: /tmp/tmplo50kqz2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,361 PID:8655] [Rank: 3] Reading file: /tmp/tmplo50kqz2/parted_data/author.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,386 PID:8649] [Rank: 0] Reading file: /tmp/tmplo50kqz2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,386 PID:8648] [Rank: 1] Reading file: /tmp/tmplo50kqz2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,386 PID:8653] [Rank: 2] Reading file: /tmp/tmplo50kqz2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,386 PID:8655] [Rank: 3] Reading file: /tmp/tmplo50kqz2/parted_data/institution.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,408 PID:8649] [Rank: 0] Reading file: /tmp/tmplo50kqz2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,409 PID:8648] [Rank: 1] Reading file: /tmp/tmplo50kqz2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,409 PID:8655] [Rank: 3] Reading file: /tmp/tmplo50kqz2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,411 PID:8653] [Rank: 2] Reading file: /tmp/tmplo50kqz2/parted_data/paper.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,428 PID:8648] [Rank: 1] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:24,428 PID:8649] [Rank: 0] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:24,428 PID:8649] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,429 PID:8648] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,429 PID:8655] [Rank: 3] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:24,429 PID:8655] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,431 PID:8653] [Rank: 2] Initialized metis partitions and node_types map... [8671a25bb4ef INFO 2022-10-18 06:36:24,431 PID:8653] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,438 PID:8648] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,438 PID:8649] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,439 PID:8655] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,439 PID:8648] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,439 PID:8649] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,440 PID:8655] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,440 PID:8648] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,440 PID:8649] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,441 PID:8653] Loading node feature[feat] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/feat-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,441 PID:8655] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,441 PID:8649] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,441 PID:8648] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,441 PID:8655] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8649] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8653] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8648] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8655] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8648] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-2.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,443 PID:8653] Loading node feature[label] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/label-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,442 PID:8649] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-0.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,443 PID:8655] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-6.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,443 PID:8649] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-1.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8653] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,443 PID:8648] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-3.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8655] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-7.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8653] Loading node feature[year] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/year-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8649] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8649] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8649] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8649] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8648] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8648] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8648] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,444 PID:8648] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8655] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8655] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8655] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8648] [Rank: 1] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8649] [Rank: 0] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8655] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8653] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-4.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8648] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution2.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8649] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution0.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,445 PID:8655] [Rank: 3] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:24,446 PID:8655] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution6.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,446 PID:8653] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplo50kqz2/chunked-data/node_data/paper/orig_ids-5.npy [8671a25bb4ef INFO 2022-10-18 06:36:24,448 PID:8653] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [8671a25bb4ef INFO 2022-10-18 06:36:24,448 PID:8653] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,448 PID:8653] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,448 PID:8653] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [8671a25bb4ef INFO 2022-10-18 06:36:24,448 PID:8653] [Rank: 2] This dataset does not have any edge features [8671a25bb4ef INFO 2022-10-18 06:36:24,449 PID:8653] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution4.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,468 PID:8649] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution1.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,468 PID:8648] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution3.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,469 PID:8655] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution7.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,472 PID:8653] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:affiliated_with:institution5.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,490 PID:8649] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,490 PID:8648] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,491 PID:8655] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,496 PID:8653] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,509 PID:8649] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,509 PID:8648] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,510 PID:8655] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,519 PID:8653] Loading edges of etype[author:writes:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/author:writes:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,530 PID:8655] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper6.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,532 PID:8648] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper2.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,533 PID:8649] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper0.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,543 PID:8653] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper4.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,554 PID:8655] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper7.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,555 PID:8649] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper1.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,556 PID:8648] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper3.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,565 PID:8653] Loading edges of etype[paper:cites:paper] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:cites:paper5.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,576 PID:8649] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author0.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,576 PID:8655] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author6.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,580 PID:8648] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author2.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,586 PID:8653] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author4.txt tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler [8671a25bb4ef INFO 2022-10-18 06:36:24,594 PID:8649] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author1.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,596 PID:8655] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author7.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,603 PID:8648] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author3.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,610 PID:8653] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplo50kqz2/chunked-data/edge_index/paper:rev_writes:author5.txt [8671a25bb4ef INFO 2022-10-18 06:36:24,612 PID:8649] [Rank: 0] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,612 PID:8649] [Rank: 0] Done reading dataset deom /tmp/tmplo50kqz2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:24,615 PID:8655] [Rank: 3] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,615 PID:8655] [Rank: 3] Done reading dataset deom /tmp/tmplo50kqz2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:24,623 PID:8648] [Rank: 1] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,624 PID:8648] [Rank: 1] Done reading dataset deom /tmp/tmplo50kqz2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:24,656 PID:8653] [Rank: 2] Done reading edge_file: 4, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,656 PID:8653] [Rank: 2] Done reading dataset deom /tmp/tmplo50kqz2/chunked-data [8671a25bb4ef INFO 2022-10-18 06:36:24,798 PID:8649] [Rank: 0] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,798 PID:8649] [Rank: 0] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:24,798 PID:8648] [Rank: 1] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,798 PID:8648] [Rank: 1] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8648] [Rank: 1] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8655] [Rank: 3] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8655] [Rank: 3] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8649] [Rank: 0] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8655] [Rank: 3] processing node feature: paper/feat [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8653] [Rank: 2] Done augmenting edge_data: 6, (12600,) [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8653] [Rank: 2] Done augmenting file input data with auxilary columns [8671a25bb4ef INFO 2022-10-18 06:36:24,799 PID:8653] [Rank: 2] processing node feature: paper/feat PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] [8671a25bb4ef INFO 2022-10-18 06:36:25,102 PID:8653] [Rank: 2] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:25,102 PID:8648] [Rank: 1] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:25,102 PID:8649] [Rank: 0] processing node feature: paper/label [8671a25bb4ef INFO 2022-10-18 06:36:25,102 PID:8655] [Rank: 3] processing node feature: paper/label PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] [8671a25bb4ef INFO 2022-10-18 06:36:25,395 PID:8648] [Rank: 1] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:25,395 PID:8653] [Rank: 2] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:25,395 PID:8649] [Rank: 0] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:25,395 PID:8655] [Rank: 3] processing node feature: paper/year [8671a25bb4ef INFO 2022-10-18 06:36:25,703 PID:8655] [Rank: 3] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:25,703 PID:8653] [Rank: 2] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:25,703 PID:8648] [Rank: 1] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:25,703 PID:8649] [Rank: 0] processing node feature: paper/orig_ids [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8649] [Rank: 0] Total time for node feature exchange: 0:00:01.229006 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8653] [Rank: 2] Total time for node feature exchange: 0:00:01.228358 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8648] [Rank: 1] Total time for node feature exchange: 0:00:01.229370 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8655] [Rank: 3] Total time for node feature exchange: 0:00:01.228257 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8649] [Rank: 0] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8649] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8649] [Rank: 0] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8653] [Rank: 2] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8653] [Rank: 2] Total time for node feature exchange: 0:00:00.000001 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8653] [Rank: 2] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8655] [Rank: 3] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8655] [Rank: 3] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:36:26,028 PID:8655] [Rank: 3] Done with edge features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,029 PID:8648] [Rank: 1] Done with node features exchange. [8671a25bb4ef INFO 2022-10-18 06:36:26,029 PID:8648] [Rank: 1] Total time for node feature exchange: 0:00:00.000002 [8671a25bb4ef INFO 2022-10-18 06:36:26,029 PID:8648] [Rank: 1] Done with edge features exchange. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] [8671a25bb4ef INFO 2022-10-18 06:36:26,518 PID:8653] [Rank: 2] Time to send/rcv edge data: 0:00:00.009741 [8671a25bb4ef INFO 2022-10-18 06:36:26,519 PID:8655] [Rank: 3] Time to send/rcv edge data: 0:00:00.010301 [8671a25bb4ef INFO 2022-10-18 06:36:26,520 PID:8649] [Rank: 0] Time to send/rcv edge data: 0:00:00.010710 [8671a25bb4ef INFO 2022-10-18 06:36:26,520 PID:8648] [Rank: 1] Time to send/rcv edge data: 0:00:00.011108 [8671a25bb4ef INFO 2022-10-18 06:36:26,609 PID:8653] [Rank: 2] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:26,614 PID:8649] [Rank: 0] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:26,623 PID:8648] [Rank: 1] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:26,629 PID:8655] [Rank: 3] Done with data shuffling... [8671a25bb4ef INFO 2022-10-18 06:36:26,719 PID:8648] [Rank: 1] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:26,721 PID:8649] [Rank: 0] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:26,722 PID:8655] [Rank: 3] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:26,723 PID:8653] [Rank: 2] Sorted node_data by node_type [8671a25bb4ef INFO 2022-10-18 06:36:26,726 PID:8653] [Rank: 2] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:26,726 PID:8649] [Rank: 0] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:26,727 PID:8648] [Rank: 1] Done assigning global-ids to nodes... [8671a25bb4ef INFO 2022-10-18 06:36:26,726 PID:8655] [Rank: 3] Done assigning global-ids to nodes... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] [8671a25bb4ef INFO 2022-10-18 06:36:26,819 PID:8649] [Rank: 0] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:26,820 PID:8648] [Rank: 1] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:26,820 PID:8653] [Rank: 2] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:26,820 PID:8655] [Rank: 3] Done assigning global_ids to edges ... [8671a25bb4ef INFO 2022-10-18 06:36:26,997 PID:8649] [Rank: 0] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:26,997 PID:8655] [Rank: 3] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:26,997 PID:8648] [Rank: 1] Done resolving orig_node_id for local node_ids... [8671a25bb4ef INFO 2022-10-18 06:36:26,997 PID:8653] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] Building wheel for pygraphviz (setup.py): finished with status 'done' Created wheel for pygraphviz: filename=pygraphviz-1.7-cp37-cp37m-linux_x86_64.whl size=199307 sha256=eb3c4d5cc8d2fe21b70c3c5bd68786582a2b09e0f99ad10d6a7c852c17514008 Stored in directory: /root/.cache/pip/wheels/8c/bc/0c/ac35392b72556e75107ff610cb31b313e8471918a6d280e34c Successfully built pygraphviz Installing collected packages: pygraphviz, graphviz, seaborn Successfully installed graphviz-0.20.1 pygraphviz-1.7 seaborn-0.12.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv Running tutorial ./multi/2_node_classification.py ... [8671a25bb4ef INFO 2022-10-18 06:36:27,582 PID:8648] There are 13086 edges in partition 1 [8671a25bb4ef INFO 2022-10-18 06:36:27,586 PID:8655] There are 12537 edges in partition 3 [8671a25bb4ef INFO 2022-10-18 06:36:27,588 PID:8649] There are 12174 edges in partition 0 [8671a25bb4ef INFO 2022-10-18 06:36:27,595 PID:8653] There are 12603 edges in partition 2 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8648] [Rank: 1] Time to create dgl objects: 0:00:00.712026 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8653] [Rank: 2] Time to create dgl objects: 0:00:00.712063 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8648] [Rank: 1] Total execution time of the program: 0:00:03.352134 [Rank: 3 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:27,709 PID:8655] [Rank: 3] Time to create dgl objects: 0:00:00.712050 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8655] [Rank: 3] Total execution time of the program: 0:00:03.351437 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8655] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8653] [Rank: 2] Total execution time of the program: 0:00:03.352131 [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8653] [Rank: 2] Done with Distributed data processing pipeline processing. [8671a25bb4ef INFO 2022-10-18 06:36:27,711 PID:8648] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:27,710 PID:8649] [Rank: 0] Time to create dgl objects: 0:00:00.713419 [8671a25bb4ef INFO 2022-10-18 06:36:27,711 PID:8649] [Rank: 0] Total execution time of the program: 0:00:03.353179 [Rank: 0 Edge data is already sorted !!! [8671a25bb4ef INFO 2022-10-18 06:36:27,712 PID:8649] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 59%] tests/tools/test_dist_part.py::test_part_pipeline[8-1] PASSED [ 62%] tests/tools/test_dist_part.py::test_part_pipeline[8-2] PASSED [ 64%] tests/tools/test_dist_part.py::test_part_pipeline[8-3] PASSED [ 67%] tests/tools/test_dist_part.py::test_part_pipeline[8-4] PASSED [ 70%] tests/tools/test_dist_part.py::test_part_pipeline[8-8] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g0] Done with creating chunked graph PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.4. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] Downloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip 0%| | 0/81 [00:00= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530@4/pytest_tools.xml -- ============================ slowest 100 durations ============================= 31.55s call tests/tools/test_dist_part.py::test_part_pipeline[8-8] 11.11s call tests/tools/test_dist_part.py::test_part_pipeline[4-4] 9.24s call tests/tools/test_dist_part.py::test_part_pipeline[3-3] 8.48s call tests/tools/test_dist_part.py::test_part_pipeline[3-4] 8.27s call tests/tools/test_dist_part.py::test_part_pipeline[4-8] 8.07s call tests/tools/test_dist_part.py::test_part_pipeline[2-2] 7.49s call tests/tools/test_dist_part.py::test_part_pipeline[3-8] 7.44s call tests/tools/test_dist_part.py::test_part_pipeline[2-4] 6.75s call tests/tools/test_dist_part.py::test_part_pipeline[2-8] 6.22s call tests/tools/test_dist_part.py::test_part_pipeline[2-3] 5.90s call tests/tools/test_dist_part.py::test_part_pipeline[1-8] 5.79s call tests/tools/test_dist_part.py::test_part_pipeline[1-1] 5.54s call tests/tools/test_dist_part.py::test_part_pipeline[1-4] 5.53s call tests/tools/test_dist_part.py::test_part_pipeline[1-3] 5.46s call tests/tools/test_dist_part.py::test_part_pipeline[1-2] 1.17s call tests/tools/test_parmetis.py::test_parmetis_postprocessing 0.22s call tests/tools/test_dist_part.py::test_chunk_graph[1] 0.19s call tests/tools/test_dist_part.py::test_chunk_graph[8] (82 durations < 0.005s hidden. Use -vv to show these durations.) ============ 35 passed, 2 skipped, 17 warnings in 135.85s (0:02:15) ============ PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g1] PASSED [ 67%][Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 8671a25bb4eff99ab0fd1f2224831da5bf24bcd615ac299f85b75399e8e58fc5 PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g1] PASSED [ 80%] 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PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] $ docker rm -f 8671a25bb4eff99ab0fd1f2224831da5bf24bcd615ac299f85b75399e8e58fc5 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4530@4 PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g0] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-dst-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Only ...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4530@4 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int64] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int32] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int64] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int64] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int64] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_simple[int64] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] Cleaning workspace Fetching without tags PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4530/head:refs/remotes/origin/PR-4530 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g0] Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[int32] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_ppr[int64] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[int32] SKIPPED (Onl...) [ 99%]PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%][Pipeline] sh > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g0] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations bool = onp.bool ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143: DeprecationWarning: In accordance with NEP 32, the function mirr was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial mirr = onp.mirr ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160: DeprecationWarning: In accordance with NEP 32, the function npv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial npv = onp.npv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164: DeprecationWarning: In accordance with NEP 32, the function pmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pmt = onp.pmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173: DeprecationWarning: In accordance with NEP 32, the function ppmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial ppmt = onp.ppmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176: DeprecationWarning: In accordance with NEP 32, the function pv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pv = onp.pv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177: DeprecationWarning: In accordance with NEP 32, the function rate was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial rate = onp.rate ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_17_ver = LooseVersion('1.17') ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_15_ver = LooseVersion('1.15') python/dgl/backend/mxnet/tensor.py:16 python/dgl/backend/mxnet/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(mx.__version__) < LooseVersion("1.6.0"): python/dgl/backend/mxnet/tensor.py:34 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:34: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations "bool": np.bool, python/dgl/backend/mxnet/tensor.py:43: 202 warnings tests/compute/test_basics.py: 229 warnings tests/compute/test_batched_graph.py: 432 warnings tests/compute/test_batched_heterograph.py: 310 warnings tests/compute/test_csrmm.py: 332 warnings tests/compute/test_dataloader.py: 50 warnings tests/compute/test_filter.py: 22 warnings tests/compute/test_frame.py: 8 warnings tests/compute/test_graph.py: 1626 warnings tests/compute/test_heterograph.py: 4432 warnings tests/compute/test_index.py: 1 warning tests/compute/test_kernel.py: 2511 warnings tests/compute/test_merge.py: 12 warnings tests/compute/test_nccl.py: 2 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_partition.py: 22 warnings tests/compute/test_pickle.py: 16 warnings tests/compute/test_readout.py: 844 warnings tests/compute/test_removal.py: 838 warnings tests/compute/test_sampler.py: 167 warnings tests/compute/test_sampling.py: 2737 warnings tests/compute/test_serialize.py: 2 warnings tests/compute/test_shared_mem.py: 40 warnings tests/compute/test_sparse.py: 2564 warnings tests/compute/test_specialization.py: 598 warnings tests/compute/test_subgraph.py: 666 warnings tests/compute/test_transform.py: 1834 warnings tests/compute/test_traversal.py: 788 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:43: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if dtype == np.bool: python/dgl/backend/mxnet/tensor.py:168: 174 warnings tests/compute/test_basics.py: 225 warnings tests/compute/test_batched_graph.py: 396 warnings tests/compute/test_batched_heterograph.py: 204 warnings tests/compute/test_dataloader.py: 16 warnings tests/compute/test_filter.py: 8 warnings tests/compute/test_frame.py: 1 warning tests/compute/test_graph.py: 2377 warnings tests/compute/test_heterograph.py: 5224 warnings tests/compute/test_index.py: 1 warning tests/compute/test_kernel.py: 2050 warnings tests/compute/test_merge.py: 16 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_pickle.py: 24 warnings tests/compute/test_readout.py: 1416 warnings tests/compute/test_removal.py: 662 warnings tests/compute/test_sampling.py: 5106 warnings tests/compute/test_shared_mem.py: 40 warnings tests/compute/test_sparse.py: 2 warnings tests/compute/test_specialization.py: 588 warnings tests/compute/test_subgraph.py: 354 warnings tests/compute/test_transform.py: 906 warnings tests/compute/test_traversal.py: 1555 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:168: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if ty == np.bool: ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[int32] tests/compute/test_basics.py::test_update_all_0deg[int64] tests/compute/test_basics.py::test_pull_0deg[int32] tests/compute/test_basics.py::test_pull_0deg[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[int32] tests/compute/test_transform.py::test_reverse[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[int32] tests/compute/test_batched_heterograph.py::test_features[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[float32-int32] tests/compute/test_csrmm.py::test_csrmm[float32-int64] tests/compute/test_csrmm.py::test_csrmm[float64-int32] tests/compute/test_csrmm.py::test_csrmm[float64-int64] tests/compute/test_csrmm.py::test_csrsum[float32-int32] tests/compute/test_csrmm.py::test_csrsum[float32-int64] tests/compute/test_csrmm.py::test_csrsum[float64-int32] tests/compute/test_csrmm.py::test_csrsum[float64-int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[int32] tests/compute/test_heterograph.py::test_query[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[True] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 352 warnings tests/compute/test_kernel.py: 1766 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_readout.py: 144 warnings tests/compute/test_removal.py: 8 warnings tests/compute/test_sampler.py: 22 warnings tests/compute/test_sampling.py: 12 warnings tests/compute/test_sparse.py: 2560 warnings tests/compute/test_subgraph.py: 10 warnings tests/compute/test_transform.py: 56 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:56: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dtype = np.int32 if data.dtype == np.bool else data.dtype tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[int32] tests/compute/test_heterograph.py::test_invertible_conversion[int64] tests/compute/test_shared_mem.py::test_single_process[int32] tests/compute/test_shared_mem.py::test_single_process[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_kernel.py: 3 warnings tests/compute/test_sparse.py: 290 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/sparse.py:40: DGLWarning: MXNet do not support scatter_add, fallback to numpy. dgl_warning("MXNet do not support scatter_add, fallback to numpy.") tests/compute/test_partition.py::test_get_node_partition_from_book[int32] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[int32] tests/compute/test_transform.py::test_reverse_shared_frames[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[int32] tests/compute/test_transform.py::test_reverse_shared_frames[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_compute.xml -- ============================ slowest 100 durations ============================= 20.57s call tests/compute/test_sampler.py::test_negative_sampler 9.15s call tests/compute/test_kernel.py::test_all_binary_builtins 1.37s call tests/compute/test_graph.py::test_query 0.99s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.74s call tests/compute/test_heterograph.py::test_query[int32] 0.70s call tests/compute/test_heterograph.py::test_query[int64] 0.65s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.61s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.60s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.36s call tests/compute/test_basics.py::test_compatible 0.35s call tests/compute/test_basics.py::test_batch_setter_getter[int32] 0.32s call tests/compute/test_traversal.py::test_bfs[int32] 0.31s call tests/compute/test_heterograph.py::test_view1[int32] 0.30s call tests/compute/test_transform.py::test_remove_nodes[int32] 0.30s call tests/compute/test_heterograph.py::test_view1[int64] 0.30s call tests/compute/test_traversal.py::test_bfs[int64] 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.26s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.25s call tests/compute/test_kernel.py::test_copy_src_reduce 0.18s call tests/compute/test_heterograph.py::test_updates[int32] 0.17s call tests/compute/test_heterograph.py::test_updates[int64] 0.17s call tests/compute/test_heterograph.py::test_convert[int64] 0.17s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 0.16s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 0.15s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.13s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.13s call tests/compute/test_transform.py::test_remove_nodes[int64] 0.12s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.12s call tests/compute/test_readout.py::test_reduce_readout[max-g1-int32] 0.12s call tests/compute/test_heterograph.py::test_format[int64] 0.12s call tests/compute/test_specialization.py::test_v2v_snr[int32] 0.12s call tests/compute/test_heterograph.py::test_format[int32] 0.12s call tests/compute/test_specialization.py::test_v2v_snr[int64] 0.11s call tests/compute/test_heterograph.py::test_level2[int32] 0.11s call tests/compute/test_transform.py::test_remove_edges[int32] 0.11s call tests/compute/test_heterograph.py::test_level2[int64] 0.11s call tests/compute/test_transform.py::test_remove_edges[int64] 0.10s call tests/compute/test_shared_mem.py::test_multi_process[int32] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int32] 0.10s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.10s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.09s call tests/compute/test_shared_mem.py::test_multi_process[int64] 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int32] 0.08s call tests/compute/test_heterograph.py::test_convert[int32] 0.08s call tests/compute/test_heterograph.py::test_flatten[int32] 0.08s call tests/compute/test_heterograph.py::test_flatten[int64] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int64] 0.07s call tests/compute/test_subgraph.py::test_subgraph1[int64] 0.07s call tests/compute/test_subgraph.py::test_subgraph1[int32] 0.06s call tests/compute/test_transform.py::test_add_edges[int32] 0.06s call tests/compute/test_transform.py::test_add_edges[int64] 0.06s call tests/compute/test_heterograph.py::test_add_edges[int32] 0.06s call tests/compute/test_heterograph.py::test_float_cast 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int64] 0.05s call tests/compute/test_sampler.py::test_layer_sampler 0.05s call tests/compute/test_heterograph.py::test_add_edges[int64] 0.05s call tests/compute/test_transform.py::test_add_selfloop[int32] 0.05s call tests/compute/test_transform.py::test_add_selfloop[int64] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int32] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int64] 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int32] 0.05s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int32] 0.05s call tests/compute/test_removal.py::test_edge_removal[int32] 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int64] 0.04s call tests/compute/test_transform.py::test_to_block[int32] 0.04s call tests/compute/test_transform.py::test_to_block[int64] 0.04s call tests/compute/test_removal.py::test_edge_removal[int64] 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] 0.04s call tests/compute/test_transform.py::test_no_backtracking 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_heterograph.py::test_create[int32] 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int32] 0.04s call tests/compute/test_heterograph.py::test_create[int64] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_transform.py::test_add_reverse_edges 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 0.04s call tests/compute/test_transform.py::test_reorder_graph[int32] 0.04s call tests/compute/test_heterograph.py::test_subgraph[int32] 0.04s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 0.04s call tests/compute/test_transform.py::test_reorder_graph[int64] 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int64] 0.04s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] 0.04s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] 0.03s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] 0.03s call tests/compute/test_heterograph.py::test_subgraph[int64] 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 0.03s call tests/compute/test_subgraph.py::test_out_subgraph[int32] 0.03s call tests/compute/test_readout.py::test_reduce_readout[max-g5-int32] ========= 2229 passed, 204 skipped, 48243 warnings in 76.69s (0:01:16) ========= + docker pull dgllib/dgl-ci-cpu:v220816 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g1] [Pipeline] // withEnv PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4530@4 -v /root/jenkins/workspace/dgl_PR-4530@4:/root/jenkins/workspace/dgl_PR-4530@4:rw,z -v /root/jenkins/workspace/dgl_PR-4530@4@tmp:/root/jenkins/workspace/dgl_PR-4530@4@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top 694d0cce714efcfa353e2b8911ad21d5aafce5490ac20cc4d0b5d66a7a3fba42 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (DGL-Go CPU test) [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4a17720d; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] Fetching without tags PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g0] Merging remotes/origin/master commit 83ada2964d12d65d196305f074e85cf8b95823a1 into PR head commit d1454581cf839e44e7505d44e6a0368974a6fcf6 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g1] Merge succeeded, producing d1454581cf839e44e7505d44e6a0368974a6fcf6 Checking out Revision d1454581cf839e44e7505d44e6a0368974a6fcf6 (PR-4530) Commit message: "Merge branch 'master' into refactor-rgat-example" Cleaning workspace PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4530@4/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4530/head:refs/remotes/origin/PR-4530 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge 83ada2964d12d65d196305f074e85cf8b95823a1 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4530 # timeout=10 > git checkout -b PR-4530 d1454581cf839e44e7505d44e6a0368974a6fcf6 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/METIS'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/dlpack'... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/dmlc-core'... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/googletest'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/libxsmm'... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%]PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g0] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g1] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g0] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g1] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g0] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g1] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_gg_conv PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[1] PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[20] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_appnp_conv PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[1] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[2] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g0] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int64] PASSED [ 93%]PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g0] tests/mxnet/test_nn.py::test_gmm_conv[g6-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g1-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g1-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g5-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g5-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[1] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[2] PASSED [ 97%] tests/mxnet/test_nn.py::test_set2set PASSED [ 97%] tests/mxnet/test_nn.py::test_glob_att_pool PASSED [ 97%] tests/mxnet/test_nn.py::test_simple_pool PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[1] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[2] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[8] PASSED [ 98%] tests/mxnet/test_nn.py::test_sequential PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g1] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations bool = onp.bool ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143: DeprecationWarning: In accordance with NEP 32, the function mirr was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial mirr = onp.mirr ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160: DeprecationWarning: In accordance with NEP 32, the function npv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial npv = onp.npv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164: DeprecationWarning: In accordance with NEP 32, the function pmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pmt = onp.pmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173: DeprecationWarning: In accordance with NEP 32, the function ppmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial ppmt = onp.ppmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176: DeprecationWarning: In accordance with NEP 32, the function pv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pv = onp.pv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177: DeprecationWarning: In accordance with NEP 32, the function rate was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial rate = onp.rate ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_17_ver = LooseVersion('1.17') ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_15_ver = LooseVersion('1.15') python/dgl/backend/mxnet/tensor.py:16 python/dgl/backend/mxnet/tensor.py:16 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(mx.__version__) < LooseVersion("1.6.0"): python/dgl/backend/mxnet/tensor.py:34 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:34: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations "bool": np.bool, python/dgl/backend/mxnet/tensor.py:43: 290 warnings tests/mxnet/test_nn.py: 388 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:43: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if dtype == np.bool: python/dgl/backend/mxnet/tensor.py:168: 230 warnings tests/mxnet/test_nn.py: 464 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/tensor.py:168: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if ty == np.bool: tests/mxnet/test_nn.py::test_cheb_conv[1] tests/mxnet/test_nn.py::test_cheb_conv[20] /root/jenkins/workspace/dgl_PR-4530/python/dgl/nn/mxnet/conv/chebconv.py:128: DGLWarning: lambda_max is not provided, using default value of 2. Please use dgl.laplacian_lambda_max to compute the eigenvalues. "lambda_max is not provided, using default value of 2. " -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.35s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.33s call tests/mxnet/test_geometry.py::test_fps 0.07s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.03s call tests/mxnet/test_nn.py::test_set2set 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.03s call tests/mxnet/test_nn.py::test_gg_conv 0.03s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.03s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.03s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.02s call tests/mxnet/test_nn.py::test_rgcn[8] 0.02s call tests/mxnet/test_nn.py::test_rgcn[2] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] 0.02s call tests/mxnet/test_nn.py::test_simple_pool 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_rgcn[1] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_tagconv[1] 0.01s call tests/mxnet/test_nn.py::test_sequential 0.01s call tests/mxnet/test_nn.py::test_tagconv[2] 0.01s call tests/mxnet/test_nn.py::test_glob_att_pool 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] ===================== 806 passed, 1388 warnings in 12.53s ====================== Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 e2073f98b34a2381d357cd5c93542f80c89a7217a1c18bd6dab4dd082fea4ec1 PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g1] $ docker rm -f e2073f98b34a2381d357cd5c93542f80c89a7217a1c18bd6dab4dd082fea4ec1 PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 36%]PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g0] [Pipeline] // stage PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] [Pipeline] } PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/nccl'... PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/phmap'... PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/thrust'... PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm'... PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/xbyak'... PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/METIS/GKlib'... PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] ./models/1_gnn/6_line_graph.py:100: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). labels = th.tensor(G.ndata['label']) Downloading /root/jenkins/workspace/dgl_PR-4530@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@3/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Intra-class edges percent: 0.6994 Downloading /root/jenkins/workspace/dgl_PR-4530@3/cora_binary.zip from https://data.dgl.ai/dataset/cora_binary.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@3/cora_binary Done saving data into cached files. Done saving data into cached files. Epoch 0 | loss 0.6055 | accuracy 0.6904 Epoch 1 | loss 0.5344 | accuracy 0.7455 Epoch 2 | loss 0.4791 | accuracy 0.7769 Epoch 3 | loss 0.4803 | accuracy 0.7796 Epoch 4 | loss 0.4703 | accuracy 0.7836 Epoch 5 | loss 0.4808 | accuracy 0.7667 Epoch 6 | loss 0.4621 | accuracy 0.7829 Epoch 7 | loss 0.5864 | accuracy 0.7257 Epoch 8 | loss 0.5793 | accuracy 0.7476 Epoch 9 | loss 0.5446 | accuracy 0.7655 Epoch 10 | loss 0.5275 | accuracy 0.7797 Epoch 11 | loss 0.5035 | accuracy 0.7788 Epoch 12 | loss 0.4958 | accuracy 0.7724 Epoch 13 | loss 0.4820 | accuracy 0.7797 Epoch 14 | loss 0.4711 | accuracy 0.7825 Epoch 15 | loss 0.4744 | accuracy 0.7860 Epoch 16 | loss 0.4722 | accuracy 0.7749 Epoch 17 | loss 0.4725 | accuracy 0.7826 Epoch 18 | loss 0.4663 | accuracy 0.7845 Epoch 19 | loss 0.4616 | accuracy 0.7890 Running tutorial ./models/1_gnn/1_gcn.py ... /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3441: RuntimeWarning: Mean of empty slice. out=out, **kwargs) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) Net( (layer1): GCNLayer( (linear): Linear(in_features=1433, out_features=16, bias=True) ) (layer2): GCNLayer( (linear): Linear(in_features=16, out_features=7, bias=True) ) ) NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Epoch 00000 | Loss 1.9490 | Test Acc 0.2110 | Time(s) nan Epoch 00001 | Loss 1.8061 | Test Acc 0.2880 | Time(s) nan Epoch 00002 | Loss 1.6720 | Test Acc 0.3710 | Time(s) nan Epoch 00003 | Loss 1.5624 | Test Acc 0.4630 | Time(s) 0.0040 Epoch 00004 | Loss 1.4560 | Test Acc 0.5380 | Time(s) 0.0057 Epoch 00005 | Loss 1.3527 | Test Acc 0.5940 | Time(s) 0.0051 Epoch 00006 | Loss 1.2554 | Test Acc 0.6380 | Time(s) 0.0047 Epoch 00007 | Loss 1.1618 | Test Acc 0.6710 | Time(s) 0.0061 Epoch 00008 | Loss 1.0720 | Test Acc 0.7330 | Time(s) 0.0057 Epoch 00009 | Loss 0.9878 | Test Acc 0.7610 | Time(s) 0.0054 Epoch 00010 | Loss 0.9071 | Test Acc 0.7680 | Time(s) 0.0052 Epoch 00011 | Loss 0.8325 | Test Acc 0.7490 | Time(s) 0.0051 Epoch 00012 | Loss 0.7657 | Test Acc 0.7270 | Time(s) 0.0050 Epoch 00013 | Loss 0.7047 | Test Acc 0.7160 | Time(s) 0.0049 Epoch 00014 | Loss 0.6482 | Test Acc 0.7180 | Time(s) 0.0048 Epoch 00015 | Loss 0.5933 | Test Acc 0.7300 | Time(s) 0.0047 Epoch 00016 | Loss 0.5416 | Test Acc 0.7390 | Time(s) 0.0047 Epoch 00017 | Loss 0.4946 | Test Acc 0.7500 | Time(s) 0.0046 Epoch 00018 | Loss 0.4515 | Test Acc 0.7560 | Time(s) 0.0045 Epoch 00019 | Loss 0.4116 | Test Acc 0.7540 | Time(s) 0.0045 Epoch 00020 | Loss 0.3749 | Test Acc 0.7550 | Time(s) 0.0045 Epoch 00021 | Loss 0.3414 | Test Acc 0.7550 | Time(s) 0.0045 Epoch 00022 | Loss 0.3111 | Test Acc 0.7540 | Time(s) 0.0046 Epoch 00023 | Loss 0.2834 | Test Acc 0.7490 | Time(s) 0.0046 Epoch 00024 | Loss 0.2579 | Test Acc 0.7480 | Time(s) 0.0046 Epoch 00025 | Loss 0.2346 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00026 | Loss 0.2135 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00027 | Loss 0.1942 | Test Acc 0.7440 | Time(s) 0.0047 Epoch 00028 | Loss 0.1766 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00029 | Loss 0.1605 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00030 | Loss 0.1458 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00031 | Loss 0.1324 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00032 | Loss 0.1201 | Test Acc 0.7480 | Time(s) 0.0047 Epoch 00033 | Loss 0.1089 | Test Acc 0.7530 | Time(s) 0.0047 Epoch 00034 | Loss 0.0987 | Test Acc 0.7530 | Time(s) 0.0047 Epoch 00035 | Loss 0.0895 | Test Acc 0.7540 | Time(s) 0.0047 Epoch 00036 | Loss 0.0812 | Test Acc 0.7530 | Time(s) 0.0047 Epoch 00037 | Loss 0.0736 | Test Acc 0.7530 | Time(s) 0.0046 Epoch 00038 | Loss 0.0668 | Test Acc 0.7520 | Time(s) 0.0046 Epoch 00039 | Loss 0.0607 | Test Acc 0.7520 | Time(s) 0.0046 Epoch 00040 | Loss 0.0552 | Test Acc 0.7520 | Time(s) 0.0046 Epoch 00041 | Loss 0.0503 | Test Acc 0.7510 | Time(s) 0.0046 Epoch 00042 | Loss 0.0458 | Test Acc 0.7510 | Time(s) 0.0046 Epoch 00043 | Loss 0.0419 | Test Acc 0.7500 | Time(s) 0.0045 Epoch 00044 | Loss 0.0383 | Test Acc 0.7500 | Time(s) 0.0045 Epoch 00045 | Loss 0.0351 | Test Acc 0.7520 | Time(s) 0.0045 Epoch 00046 | Loss 0.0323 | Test Acc 0.7500 | Time(s) 0.0045 Epoch 00047 | Loss 0.0297 | Test Acc 0.7500 | Time(s) 0.0045 Epoch 00048 | Loss 0.0274 | Test Acc 0.7510 | Time(s) 0.0045 Epoch 00049 | Loss 0.0253 | Test Acc 0.7510 | Time(s) 0.0045 Running tutorial ./models/1_gnn/9_gat.py ... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g1] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/googletest'... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/libuv'... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/pybind11'... PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 49%]PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g0] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g0] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/thrust/dependencies/cub'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/dlpack'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/rang'... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4530@4/third_party/tvm/3rdparty/vta-hw'... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] + bash tests/scripts/task_go_test.sh PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g1] ~/jenkins/workspace/dgl_PR-4530@4/dglgo ~/jenkins/workspace/dgl_PR-4530@4 PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] WARNING: Skipping dglgo as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] running install PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] running bdist_egg running egg_info creating dglgo.egg-info PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] writing dglgo.egg-info/PKG-INFO writing dependency_links to dglgo.egg-info/dependency_links.txt PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g1] writing entry points to dglgo.egg-info/entry_points.txt writing requirements to dglgo.egg-info/requires.txt PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] writing top-level names to dglgo.egg-info/top_level.txt writing manifest file 'dglgo.egg-info/SOURCES.txt' reading manifest file 'dglgo.egg-info/SOURCES.txt' writing manifest file 'dglgo.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib creating build/lib/recipes copying recipes/__init__.py -> build/lib/recipes creating build/lib/dglgo copying dglgo/__init__.py -> build/lib/dglgo creating build/lib/dglgo/pipeline copying dglgo/pipeline/__init__.py -> build/lib/dglgo/pipeline creating build/lib/dglgo/utils copying dglgo/utils/early_stop.py -> build/lib/dglgo/utils copying dglgo/utils/optimizer_config.py -> build/lib/dglgo/utils copying dglgo/utils/enter_config.py -> build/lib/dglgo/utils copying dglgo/utils/yaml_dump.py -> build/lib/dglgo/utils copying dglgo/utils/__init__.py -> build/lib/dglgo/utils copying dglgo/utils/factory.py -> build/lib/dglgo/utils copying dglgo/utils/base_model.py -> build/lib/dglgo/utils creating build/lib/dglgo/apply_pipeline copying dglgo/apply_pipeline/__init__.py -> build/lib/dglgo/apply_pipeline creating build/lib/dglgo/model copying dglgo/model/__init__.py -> build/lib/dglgo/model creating build/lib/dglgo/cli copying dglgo/cli/config_apply_cli.py -> build/lib/dglgo/cli copying dglgo/cli/config_cli.py -> build/lib/dglgo/cli copying dglgo/cli/train_cli.py -> build/lib/dglgo/cli copying dglgo/cli/cli.py -> build/lib/dglgo/cli copying dglgo/cli/export_cli.py -> build/lib/dglgo/cli copying dglgo/cli/recipe_cli.py -> build/lib/dglgo/cli copying dglgo/cli/__init__.py -> build/lib/dglgo/cli copying dglgo/cli/apply_cli.py -> build/lib/dglgo/cli creating build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/gen.py -> build/lib/dglgo/pipeline/nodepred_sample creating build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/__init__.py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/gen.py -> build/lib/dglgo/pipeline/graphpred creating build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/__init__.py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/gen.py -> build/lib/dglgo/pipeline/linkpred creating build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/__init__.py -> build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/gen.py -> build/lib/dglgo/pipeline/nodepred creating build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/gen.py -> build/lib/dglgo/apply_pipeline/nodepred_sample creating build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/__init__.py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/gen.py -> build/lib/dglgo/apply_pipeline/graphpred creating build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/gen.py -> build/lib/dglgo/apply_pipeline/nodepred creating build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sage.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sgc.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gcn.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gin.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/__init__.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gat.py -> build/lib/dglgo/model/node_encoder creating build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/gin_ogbg.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/__init__.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/pna.py -> build/lib/dglgo/model/graph_encoder creating build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/bilinear.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/dot.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/ele.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/__init__.py -> build/lib/dglgo/model/edge_encoder copying recipes/graphpred_hiv_gin.yaml -> build/lib/recipes copying recipes/graphpred_hiv_pna.yaml -> build/lib/recipes copying recipes/graphpred_pcba_gin.yaml -> build/lib/recipes copying recipes/linkpred_citation2_sage.yaml -> build/lib/recipes copying recipes/linkpred_collab_sage.yaml -> build/lib/recipes copying recipes/linkpred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_arxiv_gcn.yaml -> build/lib/recipes copying recipes/nodepred-ns_product_sage.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gat.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gcn.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_sage.yaml -> build/lib/recipes copying recipes/nodepred_cora_gat.yaml -> build/lib/recipes copying recipes/nodepred_cora_gcn.yaml -> build/lib/recipes copying recipes/nodepred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gat.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gcn.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_sage.yaml -> build/lib/recipes copying dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/linkpred/linkpred.jinja-py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/pipeline/nodepred copying dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_pna.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_citation2_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_product_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_pcba_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_arxiv_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/__init__.py -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_collab_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gat.yaml -> build/bdist.linux-x86_64/egg/recipes creating build/bdist.linux-x86_64/egg/dglgo creating build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/linkpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/early_stop.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/optimizer_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/enter_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/yaml_dump.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/factory.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/base_model.py -> build/bdist.linux-x86_64/egg/dglgo/utils creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sage.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sgc.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gcn.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gin.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gat.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/gin_ogbg.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/pna.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/bilinear.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/dot.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/ele.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/train_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/export_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/recipe_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/__init__.py -> build/bdist.linux-x86_64/egg/dglgo byte-compiling build/bdist.linux-x86_64/egg/recipes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/early_stop.py to early_stop.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/optimizer_config.py to optimizer_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/enter_config.py to enter_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/yaml_dump.py to yaml_dump.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/base_model.py to base_model.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sage.py to sage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sgc.py to sgc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gcn.py to gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gin.py to gin.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gat.py to gat.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/gin_ogbg.py to gin_ogbg.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/pna.py to pna.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/bilinear.py to bilinear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/dot.py to dot.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/ele.py to ele.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_apply_cli.py to config_apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_cli.py to config_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/train_cli.py to train_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/cli.py to cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/export_cli.py to export_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/recipe_cli.py to recipe_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/apply_cli.py to apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/__init__.py to __init__.cpython-37.pyc creating build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, zip_safe flag not set; analyzing archive contents... dglgo.apply_pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.cli.__pycache__.recipe_cli.cpython-37: module references __file__ dglgo.pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.linkpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.utils.__pycache__.factory.cpython-37: module references __file__ creating dist creating 'dist/dglgo-0.0.2-py3.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dglgo-0.0.2-py3.7.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Extracting dglgo-0.0.2-py3.7.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dglgo 0.0.2 to easy-install.pth file Installing dgl script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Processing dependencies for dglgo==0.0.2 Searching for rdkit-pypi Reading https://pypi.org/simple/rdkit-pypi/ PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 39%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] 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tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3441: RuntimeWarning: Mean of empty slice. out=out, **kwargs) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Epoch 00000 | Loss 1.9477 | Time(s) nan Epoch 00001 | Loss 1.9458 | Time(s) nan Epoch 00002 | Loss 1.9440 | Time(s) nan Epoch 00003 | Loss 1.9422 | Time(s) 0.8996 Epoch 00004 | Loss 1.9404 | Time(s) 0.9330 Epoch 00005 | Loss 1.9386 | Time(s) 0.9202 Epoch 00006 | Loss 1.9368 | Time(s) 1.0143 Epoch 00007 | Loss 1.9350 | Time(s) 1.0178 Epoch 00008 | Loss 1.9331 | Time(s) 1.0654 Epoch 00009 | Loss 1.9313 | Time(s) 1.0544 Epoch 00010 | Loss 1.9295 | Time(s) 1.0492 Epoch 00011 | Loss 1.9276 | Time(s) 1.0425 Epoch 00012 | Loss 1.9258 | Time(s) 1.0650 Epoch 00013 | Loss 1.9240 | Time(s) 1.0559 Epoch 00014 | Loss 1.9221 | Time(s) 1.0417 Epoch 00015 | Loss 1.9202 | Time(s) 1.0394 Epoch 00016 | Loss 1.9184 | Time(s) 1.0475 Epoch 00017 | Loss 1.9165 | Time(s) 1.0834 Epoch 00018 | Loss 1.9146 | Time(s) 1.1509 Epoch 00019 | Loss 1.9127 | Time(s) 1.1755 Epoch 00020 | Loss 1.9108 | Time(s) 1.1812 Epoch 00021 | Loss 1.9088 | Time(s) 1.1835 Epoch 00022 | Loss 1.9069 | Time(s) 1.1892 Epoch 00023 | Loss 1.9050 | Time(s) 1.1810 Epoch 00024 | Loss 1.9030 | Time(s) 1.1809 Epoch 00025 | Loss 1.9010 | Time(s) 1.1780 Epoch 00026 | Loss 1.8991 | Time(s) 1.1868 Epoch 00027 | Loss 1.8971 | Time(s) 1.1853 Epoch 00028 | Loss 1.8951 | Time(s) 1.1841 Epoch 00029 | Loss 1.8931 | Time(s) 1.1769 Running tutorial ./models/4_old_wines/7_transformer.py ... Running tutorial ./models/4_old_wines/2_capsule.py ... 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/opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/autopep8-1.7.0-py3.7.egg Searching for isort>=5.10.1 Reading https://pypi.org/simple/isort/ PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " Downloading /root/jenkins/workspace/dgl_PR-4530@3/sst.zip from https://data.dgl.ai/dataset/sst.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@3/sst the rock is destined to be the 21st century 's new `` conan '' and that he 's going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal . Traversing one tree: (tensor([ 2, 3, 6, 8, 13, 15, 17, 19, 22, 23, 25, 27, 28, 29, 30, 32, 34, 36, 38, 40, 43, 46, 47, 49, 50, 52, 58, 59, 60, 62, 64, 65, 66, 68, 69, 70]), tensor([ 1, 21, 26, 45, 48, 57, 63, 67]), tensor([24, 44, 56, 61]), tensor([20, 42, 55]), tensor([18, 54]), tensor([16, 53]), tensor([14, 51]), tensor([12, 41]), tensor([11, 39]), tensor([10, 37]), tensor([35]), tensor([33]), tensor([31]), tensor([9]), tensor([7]), tensor([5]), tensor([4]), tensor([0])) Traversing many trees at the same time: (tensor([ 2, 3, 6, 8, 13, 15, 17, 19, 22, 23, 25, 27, 28, 29, 30, 32, 34, 36, 38, 40, 43, 46, 47, 49, 50, 52, 58, 59, 60, 62, 64, 65, 66, 68, 69, 70, 74, 76, 78, 79, 82, 83, 85, 88, 90, 92, 93, 95, 96, 100, 102, 103, 105, 109, 110, 112, 113, 117, 118, 119, 121, 125, 127, 129, 130, 132, 133, 135, 138, 140, 141, 142, 143, 150, 152, 153, 155, 158, 159, 161, 162, 164, 168, 170, 171, 174, 175, 178, 179, 182, 184, 185, 187, 189, 190, 191, 192, 195, 197, 198, 200, 202, 205, 208, 210, 212, 213, 214, 216, 218, 219, 220, 223, 225, 227, 229, 230, 232, 235, 237, 240, 242, 244, 246, 248, 249, 251, 253, 255, 256, 257, 259, 262, 263, 267, 269, 270, 271, 272]), tensor([ 1, 21, 26, 45, 48, 57, 63, 67, 77, 81, 91, 94, 101, 108, 111, 116, 128, 131, 139, 151, 157, 160, 169, 173, 177, 183, 188, 196, 211, 217, 228, 247, 254, 261, 268]), tensor([ 24, 44, 56, 61, 75, 89, 99, 107, 115, 126, 137, 149, 156, 167, 181, 186, 194, 209, 215, 226, 245, 252, 266]), tensor([ 20, 42, 55, 73, 87, 124, 136, 154, 180, 207, 224, 243, 250, 265]), tensor([ 18, 54, 86, 123, 134, 148, 176, 206, 222, 241, 264]), tensor([ 16, 53, 84, 122, 172, 204, 239, 260]), tensor([ 14, 51, 80, 120, 166, 203, 238, 258]), tensor([ 12, 41, 72, 114, 165, 201, 236]), tensor([ 11, 39, 106, 163, 199, 234]), tensor([ 10, 37, 104, 147, 193, 233]), tensor([ 35, 98, 146, 231]), tensor([ 33, 97, 145, 221]), tensor([ 31, 71, 144]), tensor([9]), tensor([7]), tensor([5]), tensor([4]), tensor([0])) TreeLSTM( (embedding): Embedding(19536, 256) (dropout): Dropout(p=0.5, inplace=False) (linear): Linear(in_features=256, out_features=5, bias=True) (cell): TreeLSTMCell( (W_iou): Linear(in_features=256, out_features=768, bias=False) (U_iou): Linear(in_features=512, out_features=768, bias=False) (U_f): Linear(in_features=512, out_features=512, bias=True) ) ) Epoch 00000 | Step 00000 | Loss 448.2161 | Acc 0.1355 | Epoch 00001 | Step 00000 | Loss 269.0313 | Acc 0.7363 | Epoch 00002 | Step 00000 | Loss 907.3218 | Acc 0.3846 | Epoch 00003 | Step 00000 | Loss 334.6544 | Acc 0.6593 | Epoch 00004 | Step 00000 | Loss 266.0359 | Acc 0.8132 | Epoch 00005 | Step 00000 | Loss 287.4476 | Acc 0.7436 | Epoch 00006 | Step 00000 | Loss 184.5286 | Acc 0.8462 | Epoch 00007 | Step 00000 | Loss 112.6494 | Acc 0.9011 | Epoch 00008 | Step 00000 | Loss 105.6404 | Acc 0.8974 | Epoch 00009 | Step 00000 | Loss 70.0892 | Acc 0.9341 | Running tutorial ./models/3_generative_model/5_dgmg.py ... /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Downloading: "https://data.dgl.ai/model/dgmg_cycles-5a0c40be.pth" to /root/.cache/torch/hub/checkpoints/dgmg_cycles-5a0c40be.pth 0%| | 0.00/37.1k [00:00=0.4.0 Reading https://pypi.org/simple/typer/ PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp1-g1] Downloading 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https://files.pythonhosted.org/packages/5c/57/5f5829852eb008328db80b079899d10b9934174b71a772121d66afbff847/sphinx-6.0.0b2-py3-none-any.whl#sha256=1efbeeb409a2c1a52a9d0eba2ad630cb7b386f0e9a19b45c61745d991f9fd740 Best match: sphinx 6.0.0b2 Processing sphinx-6.0.0b2-py3-none-any.whl Installing sphinx-6.0.0b2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g1] PASSED [ 46%] 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sphinx-apidoc script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-autogen script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-build script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-quickstart script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinx-6.0.0b2-py3.7.egg Searching for toml Reading https://pypi.org/simple/toml/ Downloading https://files.pythonhosted.org/packages/44/6f/7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e/toml-0.10.2-py2.py3-none-any.whl#sha256=806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b Best match: toml 0.10.2 Processing toml-0.10.2-py2.py3-none-any.whl Installing toml-0.10.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp1-g1] PASSED [ 61%] 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MarkupSafe 2.1.1 Processing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] Adding MarkupSafe 2.1.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/MarkupSafe-2.1.1-py3.7-linux-x86_64.egg Searching for imagesize>=1.3 Reading https://pypi.org/simple/imagesize/ PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] Downloading https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl#sha256=0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b Best match: imagesize 1.4.1 Processing imagesize-1.4.1-py2.py3-none-any.whl Installing imagesize-1.4.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] 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https://files.pythonhosted.org/packages/10/ad/00b090d23a222943eb0eda509720a404f531a439e803f6538f35136cae9e/alabaster-0.7.12-py2.py3-none-any.whl#sha256=446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359 PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] Best match: alabaster 0.7.12 Processing alabaster-0.7.12-py2.py3-none-any.whl Installing alabaster-0.7.12-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g1] Adding alabaster 0.7.12 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/alabaster-0.7.12-py3.7.egg Searching for babel>=2.9 Reading https://pypi.org/simple/babel/ PASSED [ 63%] 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https://files.pythonhosted.org/packages/2e/57/a4177e24f8ed700c037e1eca7620097fdfbb1c9b358601e40169adf6d364/Babel-2.10.3-py3-none-any.whl#sha256=ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb Best match: Babel 2.10.3 Processing Babel-2.10.3-py3-none-any.whl Installing Babel-2.10.3-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] Adding Babel 2.10.3 to easy-install.pth file Installing pybabel script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Babel-2.10.3-py3.7.egg Searching for snowballstemmer>=2.0 Reading https://pypi.org/simple/snowballstemmer/ Downloading https://files.pythonhosted.org/packages/ed/dc/c02e01294f7265e63a7315fe086dd1df7dacb9f840a804da846b96d01b96/snowballstemmer-2.2.0-py2.py3-none-any.whl#sha256=c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a Best match: snowballstemmer 2.2.0 Processing snowballstemmer-2.2.0-py2.py3-none-any.whl Installing snowballstemmer-2.2.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] Adding snowballstemmer 2.2.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/snowballstemmer-2.2.0-py3.7.egg Searching for docutils<0.20,>=0.18 Reading https://pypi.org/simple/docutils/ PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] Downloading https://files.pythonhosted.org/packages/93/69/e391bd51bc08ed9141ecd899a0ddb61ab6465309f1eb470905c0c8868081/docutils-0.19-py3-none-any.whl#sha256=5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc Best match: docutils 0.19 Processing docutils-0.19-py3-none-any.whl Installing docutils-0.19-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] Adding docutils 0.19 to easy-install.pth file Installing rst2html4.py script to /opt/conda/envs/pytorch-ci/bin Installing rstpep2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2man.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xetex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2s5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2pseudoxml.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2latex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt_prepstyles.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xml.py script to /opt/conda/envs/pytorch-ci/bin Installing docutils script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/docutils-0.19-py3.7.egg Searching for Pygments>=2.12 Reading https://pypi.org/simple/Pygments/ PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] Downloading https://files.pythonhosted.org/packages/4f/82/672cd382e5b39ab1cd422a672382f08a1fb3d08d9e0c0f3707f33a52063b/Pygments-2.13.0-py3-none-any.whl#sha256=f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42 PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] Best match: Pygments 2.13.0 Processing Pygments-2.13.0-py3-none-any.whl Installing Pygments-2.13.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] Adding Pygments 2.13.0 to easy-install.pth file Installing pygmentize script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Pygments-2.13.0-py3.7.egg Searching for sphinxcontrib-qthelp Reading https://pypi.org/simple/sphinxcontrib-qthelp/ Downloading https://files.pythonhosted.org/packages/2b/14/05f9206cf4e9cfca1afb5fd224c7cd434dcc3a433d6d9e4e0264d29c6cdb/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl#sha256=bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6 Best match: sphinxcontrib-qthelp 1.0.3 Processing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl Installing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] Adding sphinxcontrib-qthelp 1.0.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_qthelp-1.0.3-py3.7.egg Searching for sphinxcontrib-serializinghtml>=1.1.5 Reading https://pypi.org/simple/sphinxcontrib-serializinghtml/ PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] Downloading https://files.pythonhosted.org/packages/c6/77/5464ec50dd0f1c1037e3c93249b040c8fc8078fdda97530eeb02424b6eea/sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl#sha256=352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd Best match: sphinxcontrib-serializinghtml 1.1.5 Processing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl Installing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] Adding sphinxcontrib-serializinghtml 1.1.5 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_serializinghtml-1.1.5-py3.7.egg Searching for sphinxcontrib-htmlhelp>=2.0.0 Reading https://pypi.org/simple/sphinxcontrib-htmlhelp/ Downloading https://files.pythonhosted.org/packages/63/40/c854ef09500e25f6432dcbad0f37df87fd7046d376272292d8654cc71c95/sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl#sha256=d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07 Best match: sphinxcontrib-htmlhelp 2.0.0 Processing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] Installing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] Adding sphinxcontrib-htmlhelp 2.0.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_htmlhelp-2.0.0-py3.7.egg Searching for sphinxcontrib-jsmath Reading https://pypi.org/simple/sphinxcontrib-jsmath/ PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] Downloading https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl#sha256=2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178 Best match: sphinxcontrib-jsmath 1.0.1 Processing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl Installing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] Adding sphinxcontrib-jsmath 1.0.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_jsmath-1.0.1-py3.7.egg Searching for sphinxcontrib-devhelp Reading https://pypi.org/simple/sphinxcontrib-devhelp/ Downloading https://files.pythonhosted.org/packages/c5/09/5de5ed43a521387f18bdf5f5af31d099605c992fd25372b2b9b825ce48ee/sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl#sha256=8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp1-g1] Best match: sphinxcontrib-devhelp 1.0.2 Processing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g0] Adding sphinxcontrib-devhelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_devhelp-1.0.2-py3.7.egg Searching for sphinxcontrib-applehelp Reading https://pypi.org/simple/sphinxcontrib-applehelp/ Downloading https://files.pythonhosted.org/packages/dc/47/86022665a9433d89a66f5911b558ddff69861766807ba685de2e324bd6ed/sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl#sha256=806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a Best match: sphinxcontrib-applehelp 1.0.2 Processing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] Adding sphinxcontrib-applehelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_applehelp-1.0.2-py3.7.egg Searching for scikit-learn==1.0.2 Best match: scikit-learn 1.0.2 Adding scikit-learn 1.0.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for ogb==1.3.3 Best match: ogb 1.3.3 Adding ogb 1.3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for threadpoolctl==3.1.0 Best match: threadpoolctl 3.1.0 Adding threadpoolctl 3.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for joblib==1.1.0 Best match: joblib 1.1.0 Adding joblib 1.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for Pillow==9.2.0 Best match: Pillow 9.2.0 Adding Pillow 9.2.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for outdated==0.2.1 Best match: outdated 0.2.1 Adding outdated 0.2.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for six==1.16.0 Best match: six 1.16.0 Adding six 1.16.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pandas==1.1.5 Best match: pandas 1.1.5 Adding pandas 1.1.5 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for torch==1.9.0+cpu Best match: torch 1.9.0+cpu Adding torch 1.9.0+cpu to easy-install.pth file Installing convert-caffe2-to-onnx script to /opt/conda/envs/pytorch-ci/bin Installing convert-onnx-to-caffe2 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for typing-extensions==4.3.0 Best match: typing-extensions 4.3.0 Adding typing-extensions 4.3.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for click==8.1.3 Best match: click 8.1.3 Adding click 8.1.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for littleutils==0.2.2 Best match: littleutils 0.2.2 Adding littleutils 0.2.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pytz==2022.2.1 Best match: pytz 2022.2.1 Adding pytz 2022.2.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for python-dateutil==2.8.2 Best match: python-dateutil 2.8.2 Adding python-dateutil 2.8.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for importlib-metadata==4.12.0 Best match: importlib-metadata 4.12.0 Adding importlib-metadata 4.12.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for packaging==21.3 Best match: packaging 21.3 Adding packaging 21.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for zipp==3.8.1 Best match: zipp 3.8.1 Adding zipp 3.8.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pyparsing==3.0.9 Best match: pyparsing 3.0.9 Adding pyparsing 3.0.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dglgo==0.0.2 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: post1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.4 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.5 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-2.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] ~/jenkins/workspace/dgl_PR-4530@4 PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] Collecting psutil Downloading psutil-5.9.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3 kB 10.2 MB/s eta 0:00:00 PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp0-g1] Installing collected packages: psutil PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] Successfully installed psutil-5.9.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@4 collecting ... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g0] collected 81 items tests/go/test_model.py::test_gcn[g0] PASSED [ 1%] tests/go/test_model.py::test_gcn_block[g0] PASSED [ 2%] tests/go/test_model.py::test_gat[g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g1] PASSED [ 3%] tests/go/test_model.py::test_gat_block[g0] PASSED [ 4%] tests/go/test_model.py::test_gin[g0] PASSED [ 6%] tests/go/test_model.py::test_sage[g0] PASSED [ 7%] tests/go/test_model.py::test_sage_block[g0] PASSED [ 8%] tests/go/test_model.py::test_sgc[g0] PASSED [ 9%] tests/go/test_model.py::test_bilinear PASSED [ 11%] tests/go/test_model.py::test_ele PASSED [ 12%] tests/go/test_model.py::test_ogbg_gin[True] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 13%] tests/go/test_model.py::test_ogbg_gin[False] PASSED [ 14%] tests/go/test_model.py::test_pna PASSED [ 16%] tests/go/test_pipeline.py::test_nodepred_data[cora] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] 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PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g0] PASSED [ 67%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 18%] tests/go/test_pipeline.py::test_nodepred_data[pubmed] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g0] PASSED [ 71%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 54%]PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 19%] tests/go/test_pipeline.py::test_nodepred_data[csv] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 74%] 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tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g1] PASSED [ 22%] tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 62%] 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tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 23%] tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp2-g1] PASSED [ 24%] tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g0] PASSED [ 65%]PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g1] PASSED [ 25%] tests/go/test_pipeline.py::test_nodepred_model[gcn] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 27%] tests/go/test_pipeline.py::test_nodepred_model[gat] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 28%] tests/go/test_pipeline.py::test_nodepred_model[sage] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%]PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g1] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 29%] tests/go/test_pipeline.py::test_nodepred_model[sgc] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 30%] tests/go/test_pipeline.py::test_nodepred_model[gin] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g0] PASSED [ 75%]PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g0] PASSED [ 87%]PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g1] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%]PASSED [ 32%] tests/go/test_pipeline.py::test_nodepred_ns_data[cora] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g1] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 33%] tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g1] PASSED [ 34%] tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g1] PASSED [ 80%] 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[ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] PASSED [ 35%] tests/go/test_pipeline.py::test_nodepred_ns_data[csv] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g1] /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " Among 100 graphs generated, 98% are valid. Running tutorial ./blitz/5_graph_classification.py ... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g1] PASSED [ 83%] 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PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] PASSED [ 37%] tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 38%] tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 39%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 40%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g1] PASSED [ 41%] tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-dst-g0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp1-src-g0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] 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[ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int64] SKIPPED [ 94%] 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[ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 43%] tests/go/test_pipeline.py::test_nodepred_ns_model[gat] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 8 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:565: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/data/csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530@2/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530@2/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/transforms/functional.py:1320: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4530@2/pytest_compute.xml - ============================ slowest 100 durations ============================= 193.32s call tests/compute/test_kernel.py::test_all_binary_builtins 68.19s call tests/compute/test_data.py::test_reddit 53.33s call tests/compute/test_data.py::test_gin 35.25s call tests/compute/test_data.py::test_as_graphpred 35.06s call tests/compute/test_data.py::test_fakenews 19.03s call tests/compute/test_data.py::test_explain_syn 11.77s call tests/compute/test_data.py::test_tudataset_regression 9.66s call tests/compute/test_data.py::test_gnn_benchmark 8.60s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 7.67s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.50s call tests/compute/test_transform.py::test_metis_partition[idtype1] 5.70s call tests/compute/test_sampling.py::test_sample_neighbors_prob 5.53s call tests/compute/test_kernel.py::test_copy_edge_reduce 5.24s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 5.19s call tests/compute/test_kernel.py::test_copy_src_reduce 5.10s call tests/compute/test_heterograph.py::test_query[idtype0] 4.59s call tests/compute/test_graph.py::test_query 4.33s call tests/compute/test_heterograph.py::test_query[idtype1] 4.22s call tests/compute/test_data.py::test_citation_graph 3.63s call tests/compute/test_data.py::test_add_nodepred_split 3.57s call tests/compute/test_data.py::test_fraud 3.40s call tests/compute/test_heterograph.py::test_updates[idtype0] 3.38s call tests/compute/test_heterograph.py::test_updates[idtype1] 2.90s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 2.72s call tests/compute/test_data.py::test_wiki_cs 2.66s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 2.46s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 2.36s call tests/compute/test_heterograph.py::test_forking_pickler 2.30s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 2.08s call tests/compute/test_data.py::test_flickr 2.01s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 2.00s call tests/compute/test_heterograph.py::test_level2[idtype1] 1.98s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] 1.98s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 1.94s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] 1.86s call tests/compute/test_heterograph.py::test_level2[idtype0] 1.82s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] 1.79s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] 1.72s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] 1.71s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 1.56s call tests/compute/test_transform.py::test_partition_with_halo 1.52s call tests/compute/test_heterograph.py::test_format[idtype1] 1.52s call tests/compute/test_heterograph.py::test_format[idtype0] 1.49s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] 1.47s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.46s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] 1.45s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 1.45s call tests/compute/test_data.py::test_csvdataset 1.42s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] 1.39s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] 1.39s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.37s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 1.34s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] 1.33s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.31s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] 1.30s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.28s call tests/compute/test_transform.py::test_reorder_nodes 1.28s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] 1.28s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] 1.28s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 1.27s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 1.27s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] 1.23s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] 1.18s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] 1.12s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] 1.10s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] 1.09s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] 1.08s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] 1.08s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] ========= 2308 passed, 130 skipped, 236 warnings in 1197.75s (0:19:57) ========= PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530@2 collecting ... PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype1] PASSED [ 44%] tests/go/test_pipeline.py::test_nodepred_ns_model[sage] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype0] PASSED [ 10%]PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] PASSED [ 45%] tests/go/test_pipeline.py::test_linkpred_data[cora] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 46%] tests/go/test_pipeline.py::test_linkpred_data[citeseer] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int32] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int64] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int32] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int64] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int32] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 48%] tests/go/test_pipeline.py::test_linkpred_data[pubmed] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int64] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int32] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int64] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int64] PASSED [ 49%] tests/go/test_pipeline.py::test_linkpred_data[csv] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int64] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 50%] tests/go/test_pipeline.py::test_linkpred_data[reddit] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 51%] tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 53%] tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 54%] tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 55%] tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 56%] tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 58%] tests/go/test_pipeline.py::test_linkpred_node_model[gcn] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 59%] tests/go/test_pipeline.py::test_linkpred_node_model[gat] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 60%] tests/go/test_pipeline.py::test_linkpred_node_model[sage] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4530@2/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4530@2/pytest_backend.xml - ============================ slowest 100 durations ============================= 1.03s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.94s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.87s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.80s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.67s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.67s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.62s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.60s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.52s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.51s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.50s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.48s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.46s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.46s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.45s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.44s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.40s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.38s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.38s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.36s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.19s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] ================= 920 passed, 35 warnings in 64.60s (0:01:04) ================== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 55b6b5f21533f19044cfa6e93a003f41cfb49d02f531f2f8ed47567de99efa7b PASSED [ 61%] tests/go/test_pipeline.py::test_linkpred_node_model[sgc] $ docker rm -f 55b6b5f21533f19044cfa6e93a003f41cfb49d02f531f2f8ed47567de99efa7b [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 62%] tests/go/test_pipeline.py::test_linkpred_node_model[gin] PASSED [ 64%] tests/go/test_pipeline.py::test_linkpred_edge_model[ele] PASSED [ 65%] tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] PASSED [ 66%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] PASSED [ 67%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 69%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int64] PASSED [ 70%] tests/go/test_pipeline.py::test_graphpred[gin-csv] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[int32] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_ppr[int64] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[int32] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[int32] tests/compute/test_basics.py::test_update_all_0deg[int64] tests/compute/test_basics.py::test_pull_0deg[int32] tests/compute/test_basics.py::test_pull_0deg[int64] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[int32] tests/compute/test_transform.py::test_reverse[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[int32] tests/compute/test_batched_heterograph.py::test_features[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[float32-int32] tests/compute/test_csrmm.py::test_csrmm[float32-int64] tests/compute/test_csrmm.py::test_csrmm[float64-int32] tests/compute/test_csrmm.py::test_csrmm[float64-int64] tests/compute/test_csrmm.py::test_csrsum[float32-int32] tests/compute/test_csrmm.py::test_csrsum[float32-int64] tests/compute/test_csrmm.py::test_csrsum[float64-int32] tests/compute/test_csrmm.py::test_csrsum[float64-int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[int32] tests/compute/test_heterograph.py::test_query[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4530/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[int32] tests/compute/test_heterograph.py::test_invertible_conversion[int64] tests/compute/test_shared_mem.py::test_single_process[int32] tests/compute/test_shared_mem.py::test_single_process[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_kernel.py: 3 warnings tests/compute/test_sparse.py: 290 warnings /root/jenkins/workspace/dgl_PR-4530/python/dgl/backend/mxnet/sparse.py:40: DGLWarning: MXNet do not support scatter_add, fallback to numpy. dgl_warning("MXNet do not support scatter_add, fallback to numpy.") tests/compute/test_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4530/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4530/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/_ffi/_ctypes/function.py:139: ComplexWarning: Casting complex values to real discards the imaginary part values[i].v_float64 = arg tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4530/python/dgl/data/graph_serialize.py:190: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[int32] tests/compute/test_transform.py::test_reverse_shared_frames[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1268: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[int32] tests/compute/test_transform.py::test_reverse_shared_frames[int64] /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1271: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4530/python/dgl/transforms/functional.py:1320: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_compute.xml -- ============================ slowest 100 durations ============================= 217.25s call tests/compute/test_kernel.py::test_all_binary_builtins 76.46s call tests/compute/test_sampler.py::test_negative_sampler 59.12s call tests/compute/test_transform.py::test_metis_partition[int64] 18.13s call tests/compute/test_kernel.py::test_copy_edge_reduce 15.62s call tests/compute/test_transform.py::test_reorder_nodes 8.09s call tests/compute/test_kernel.py::test_copy_src_reduce 5.73s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 5.37s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 4.69s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] 3.81s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 3.61s call tests/compute/test_heterograph.py::test_query[int64] 3.41s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 3.37s call tests/compute/test_specialization.py::test_v2v_pull[int64] 3.20s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 3.05s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] 2.91s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] 2.89s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] 2.68s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 2.63s call tests/compute/test_sampling.py::test_sample_neighbors_prob 2.54s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] 2.26s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 2.14s call tests/compute/test_heterograph.py::test_query[int32] 2.13s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] 2.10s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] 2.10s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] 2.06s call tests/compute/test_traversal.py::test_bfs[int32] 2.02s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 1.99s call tests/compute/test_specialization.py::test_v2v_update_all[int32] 1.96s call tests/compute/test_traversal.py::test_bfs[int64] 1.95s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] 1.92s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] 1.89s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] 1.87s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] 1.81s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] 1.79s call tests/compute/test_specialization.py::test_spmv_3d_feat[int32] 1.79s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] 1.79s call tests/compute/test_graph.py::test_query 1.77s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] 1.76s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] 1.75s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] 1.69s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] 1.69s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] 1.69s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] 1.65s call tests/compute/test_specialization.py::test_spmv_3d_feat[int64] 1.61s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] 1.58s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] 1.57s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] 1.55s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g0] 1.55s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] 1.55s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] 1.54s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] 1.53s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] 1.52s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] 1.51s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] 1.50s call tests/compute/test_specialization.py::test_v2v_update_all[int64] 1.45s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] 1.44s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] 1.42s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] 1.42s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] 1.42s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] 1.36s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] 1.36s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] 1.32s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] 1.31s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] 1.30s call tests/compute/test_specialization.py::test_v2v_snr[int32] 1.29s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] 1.28s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] 1.27s call tests/compute/test_sampling.py::test_node2vec 1.27s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] 1.27s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] 1.24s call tests/compute/test_specialization.py::test_v2v_snr[int64] 1.24s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] 1.24s call tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] 1.23s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] 1.22s call tests/compute/test_sampler.py::test_layer_sampler 1.21s call tests/compute/test_heterograph.py::test_view1[int64] 1.21s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g0] 1.18s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] 1.18s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] 1.17s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] 1.16s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] 1.14s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] 1.14s call tests/compute/test_heterograph.py::test_updates[int64] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] ========= 2284 passed, 149 skipped, 509 warnings in 1041.65s (0:17:21) ========= Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4530 collecting ... PASSED [ 71%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 72%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 74%] tests/go/test_pipeline.py::test_graphpred[pna-csv] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 75%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_gg_conv PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[1] PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[20] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_appnp_conv PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[1] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[2] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int64] PASSED [ 76%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int32] PASSED [ 77%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int32] PASSED [ 79%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int32] PASSED [ 80%] tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g1-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g1-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g5-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g5-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int64] PASSED [ 81%] tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[1] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[2] PASSED [ 97%] tests/mxnet/test_nn.py::test_set2set PASSED [ 97%] tests/mxnet/test_nn.py::test_glob_att_pool PASSED [ 97%] tests/mxnet/test_nn.py::test_simple_pool PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[1] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[2] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[8] PASSED [ 98%] tests/mxnet/test_nn.py::test_sequential PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int32] PASSED [ 82%] tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 83%] tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] PASSED [ 85%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%]PASSED [ 86%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] =============================== warnings summary =============================== tests/mxnet/test_nn.py::test_cheb_conv[1] tests/mxnet/test_nn.py::test_cheb_conv[20] /root/jenkins/workspace/dgl_PR-4530/python/dgl/nn/mxnet/conv/chebconv.py:128: DGLWarning: lambda_max is not provided, using default value of 2. Please use dgl.laplacian_lambda_max to compute the eigenvalues. "lambda_max is not provided, using default value of 2. " -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4530/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.80s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 0.58s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 0.57s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.54s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.49s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 0.48s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 0.48s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.43s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.43s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 0.41s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.41s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 0.39s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.39s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.28s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.28s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.25s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.25s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.24s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.23s call tests/mxnet/test_nn.py::test_gg_conv 0.22s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] 0.22s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] 0.21s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.19s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] 0.19s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] 0.17s call tests/mxnet/test_nn.py::test_rgcn[1] 0.17s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.17s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.16s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] 0.16s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] 0.16s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] 0.16s call tests/mxnet/test_nn.py::test_tagconv[2] 0.16s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] 0.15s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.15s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.14s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] 0.14s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] 0.13s call tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] 0.13s call tests/mxnet/test_nn.py::test_tagconv[1] 0.13s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] 0.13s call tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] 0.13s call tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] 0.13s call tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] 0.13s call tests/mxnet/test_nn.py::test_edge_conv[1-g1-int64] 0.13s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.12s call tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] 0.12s call tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.12s call tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] 0.12s call tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.12s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] 0.12s call tests/mxnet/test_nn.py::test_rgcn[2] 0.12s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.12s call tests/mxnet/test_nn.py::test_edge_conv[1-g0-int64] 0.11s call tests/mxnet/test_nn.py::test_edge_conv[1-g1-int32] 0.11s call tests/mxnet/test_nn.py::test_rgcn[8] 0.11s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.11s call tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] 0.11s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.11s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] 0.11s call tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] 0.11s call tests/mxnet/test_nn.py::test_edge_conv[1-g4-int32] 0.11s call tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] 0.11s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] 0.11s call tests/mxnet/test_nn.py::test_edge_conv[2-g5-int64] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] 0.10s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.10s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.10s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.10s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int64] 0.10s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] 0.10s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] 0.10s call tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] 0.10s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] 0.10s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] 0.10s call tests/mxnet/test_nn.py::test_agnn_conv[g4-int64] 0.10s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] 0.10s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] 0.10s call tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] 0.10s call tests/mxnet/test_nn.py::test_cheb_conv[1] 0.09s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] 0.09s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] ======================= 806 passed, 2 warnings in 48.05s ======================= [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 f0eaaf63231deac72776125ae076fff36c788e5737a9c51cebe62589b91da7e8 PASSED [ 87%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] $ docker rm -f f0eaaf63231deac72776125ae076fff36c788e5737a9c51cebe62589b91da7e8 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 88%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] PASSED [ 90%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] PASSED [ 91%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] PASSED [ 92%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] PASSED [ 93%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] PASSED [ 95%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] Downloading /root/jenkins/workspace/dgl_PR-4530@3/GINDataset.zip from https://raw.githubusercontent.com/weihua916/powerful-gnns/master/dataset.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4530@3/GINDataset Node feature dimensionality: 3 Number of graph categories: 2 [Graph(num_nodes=200, num_edges=838, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), tensor([0, 1, 0, 1, 1])] Number of nodes for each graph element in the batch: tensor([21, 94, 19, 42, 24]) Number of edges for each graph element in the batch: tensor([ 93, 342, 91, 212, 100]) The original graphs in the minibatch: [Graph(num_nodes=21, num_edges=93, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=94, num_edges=342, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=19, num_edges=91, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=42, num_edges=212, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=24, num_edges=100, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={})] Test accuracy: 0.26905829596412556 Running tutorial ./blitz/3_message_passing.py ... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. In epoch 0, loss: 1.949, val acc: 0.156 (best 0.156), test acc: 0.144 (best 0.144) In epoch 5, loss: 1.881, val acc: 0.242 (best 0.242), test acc: 0.237 (best 0.237) In epoch 10, loss: 1.740, val acc: 0.486 (best 0.534), test acc: 0.478 (best 0.532) In epoch 15, loss: 1.518, val acc: 0.592 (best 0.592), test acc: 0.608 (best 0.608) In epoch 20, loss: 1.223, val acc: 0.634 (best 0.634), test acc: 0.657 (best 0.657) In epoch 25, loss: 0.894, val acc: 0.676 (best 0.676), test acc: 0.698 (best 0.698) In epoch 30, loss: 0.588, val acc: 0.708 (best 0.708), test acc: 0.730 (best 0.730) In epoch 35, loss: 0.351, val acc: 0.744 (best 0.744), test acc: 0.753 (best 0.753) In epoch 40, loss: 0.199, val acc: 0.756 (best 0.756), test acc: 0.765 (best 0.762) In epoch 45, loss: 0.112, val acc: 0.762 (best 0.762), test acc: 0.770 (best 0.770) In epoch 50, loss: 0.066, val acc: 0.766 (best 0.766), test acc: 0.780 (best 0.780) In epoch 55, loss: 0.041, val acc: 0.770 (best 0.770), test acc: 0.784 (best 0.781) In epoch 60, loss: 0.028, val acc: 0.772 (best 0.772), test acc: 0.788 (best 0.786) In epoch 65, loss: 0.021, val acc: 0.770 (best 0.772), test acc: 0.784 (best 0.786) In epoch 70, loss: 0.016, val acc: 0.768 (best 0.772), test acc: 0.780 (best 0.786) In epoch 75, loss: 0.013, val acc: 0.768 (best 0.772), test acc: 0.780 (best 0.786) In epoch 80, loss: 0.011, val acc: 0.768 (best 0.772), test acc: 0.780 (best 0.786) In epoch 85, loss: 0.010, val acc: 0.770 (best 0.772), test acc: 0.780 (best 0.786) In epoch 90, loss: 0.009, val acc: 0.770 (best 0.772), test acc: 0.781 (best 0.786) In epoch 95, loss: 0.008, val acc: 0.770 (best 0.772), test acc: 0.781 (best 0.786) In epoch 100, loss: 0.007, val acc: 0.770 (best 0.772), test acc: 0.781 (best 0.786) In epoch 105, loss: 0.007, val acc: 0.770 (best 0.772), test acc: 0.782 (best 0.786) In epoch 110, loss: 0.006, val acc: 0.770 (best 0.772), test acc: 0.781 (best 0.786) In epoch 115, loss: 0.006, val acc: 0.770 (best 0.772), test acc: 0.780 (best 0.786) In epoch 120, loss: 0.005, val acc: 0.770 (best 0.772), test acc: 0.780 (best 0.786) In epoch 125, loss: 0.005, val acc: 0.770 (best 0.772), test acc: 0.780 (best 0.786) In epoch 130, loss: 0.005, val acc: 0.770 (best 0.772), test acc: 0.780 (best 0.786) In epoch 135, loss: 0.004, val acc: 0.768 (best 0.772), test acc: 0.780 (best 0.786) In epoch 140, loss: 0.004, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 145, loss: 0.004, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 150, loss: 0.004, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 155, loss: 0.004, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 160, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 165, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 170, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 175, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 180, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 185, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 190, loss: 0.003, val acc: 0.768 (best 0.772), test acc: 0.781 (best 0.786) In epoch 195, loss: 0.002, val acc: 0.766 (best 0.772), test acc: 0.782 (best 0.786) In epoch 0, loss: 1.951, val acc: 0.316 (best 0.316), test acc: 0.319 (best 0.319) In epoch 5, loss: 1.874, val acc: 0.316 (best 0.316), test acc: 0.319 (best 0.319) In epoch 10, loss: 1.723, val acc: 0.560 (best 0.560), test acc: 0.570 (best 0.570) In epoch 15, loss: 1.499, val acc: 0.538 (best 0.560), test acc: 0.546 (best 0.570) In epoch 20, loss: 1.213, val acc: 0.574 (best 0.574), test acc: 0.590 (best 0.590) In epoch 25, loss: 0.900, val acc: 0.620 (best 0.620), test acc: 0.635 (best 0.635) In epoch 30, loss: 0.609, val acc: 0.644 (best 0.644), test acc: 0.679 (best 0.679) In epoch 35, loss: 0.378, val acc: 0.676 (best 0.676), test acc: 0.710 (best 0.710) In epoch 40, loss: 0.222, val acc: 0.692 (best 0.694), test acc: 0.733 (best 0.732) In epoch 45, loss: 0.129, val acc: 0.718 (best 0.718), test acc: 0.746 (best 0.746) In epoch 50, loss: 0.078, val acc: 0.726 (best 0.726), test acc: 0.746 (best 0.747) In epoch 55, loss: 0.049, val acc: 0.726 (best 0.728), test acc: 0.747 (best 0.747) In epoch 60, loss: 0.034, val acc: 0.728 (best 0.728), test acc: 0.748 (best 0.747) In epoch 65, loss: 0.025, val acc: 0.732 (best 0.732), test acc: 0.754 (best 0.751) In epoch 70, loss: 0.019, val acc: 0.730 (best 0.732), test acc: 0.754 (best 0.751) In epoch 75, loss: 0.016, val acc: 0.728 (best 0.732), test acc: 0.754 (best 0.751) In epoch 80, loss: 0.013, val acc: 0.730 (best 0.732), test acc: 0.756 (best 0.751) In epoch 85, loss: 0.011, val acc: 0.738 (best 0.738), test acc: 0.759 (best 0.759) In epoch 90, loss: 0.010, val acc: 0.740 (best 0.740), test acc: 0.758 (best 0.758) In epoch 95, loss: 0.009, val acc: 0.740 (best 0.740), test acc: 0.760 (best 0.758) In epoch 100, loss: 0.008, val acc: 0.740 (best 0.740), test acc: 0.760 (best 0.758) In epoch 105, loss: 0.008, val acc: 0.740 (best 0.740), test acc: 0.759 (best 0.758) In epoch 110, loss: 0.007, val acc: 0.740 (best 0.740), test acc: 0.758 (best 0.758) In epoch 115, loss: 0.007, val acc: 0.742 (best 0.742), test acc: 0.757 (best 0.758) In epoch 120, loss: 0.006, val acc: 0.742 (best 0.742), test acc: 0.758 (best 0.758) In epoch 125, loss: 0.006, val acc: 0.742 (best 0.742), test acc: 0.758 (best 0.758) In epoch 130, loss: 0.005, val acc: 0.742 (best 0.742), test acc: 0.758 (best 0.758) In epoch 135, loss: 0.005, val acc: 0.742 (best 0.742), test acc: 0.756 (best 0.758) In epoch 140, loss: 0.005, val acc: 0.742 (best 0.742), test acc: 0.756 (best 0.758) In epoch 145, loss: 0.004, val acc: 0.746 (best 0.746), test acc: 0.755 (best 0.755) In epoch 150, loss: 0.004, val acc: 0.746 (best 0.746), test acc: 0.755 (best 0.755) In epoch 155, loss: 0.004, val acc: 0.746 (best 0.746), test acc: 0.755 (best 0.755) In epoch 160, loss: 0.004, val acc: 0.746 (best 0.746), test acc: 0.755 (best 0.755) In epoch 165, loss: 0.004, val acc: 0.748 (best 0.748), test acc: 0.756 (best 0.755) In epoch 170, loss: 0.003, val acc: 0.746 (best 0.748), test acc: 0.757 (best 0.755) In epoch 175, loss: 0.003, val acc: 0.746 (best 0.748), test acc: 0.758 (best 0.755) In epoch 180, loss: 0.003, val acc: 0.746 (best 0.748), test acc: 0.759 (best 0.755) In epoch 185, loss: 0.003, val acc: 0.748 (best 0.748), test acc: 0.759 (best 0.755) In epoch 190, loss: 0.003, val acc: 0.748 (best 0.748), test acc: 0.759 (best 0.755) In epoch 195, loss: 0.003, val acc: 0.748 (best 0.748), test acc: 0.757 (best 0.755) Running tutorial ./blitz/4_link_predict.py ... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. In epoch 0, loss: 0.6929547786712646 In epoch 5, loss: 0.6592085957527161 In epoch 10, loss: 0.5705173015594482 In epoch 15, loss: 0.5324617624282837 In epoch 20, loss: 0.49288812279701233 In epoch 25, loss: 0.46447068452835083 In epoch 30, loss: 0.4374203383922577 In epoch 35, loss: 0.41655972599983215 In epoch 40, loss: 0.39375826716423035 In epoch 45, loss: 0.3718683421611786 In epoch 50, loss: 0.35138818621635437 In epoch 55, loss: 0.331411749124527 In epoch 60, loss: 0.3109559118747711 In epoch 65, loss: 0.29028698801994324 In epoch 70, loss: 0.2701123058795929 In epoch 75, loss: 0.2497074007987976 In epoch 80, loss: 0.22918327152729034 In epoch 85, loss: 0.20905056595802307 In epoch 90, loss: 0.18923020362854004 In epoch 95, loss: 0.16987799108028412 AUC 0.8697531501987825 Running tutorial ./blitz/1_introduction.py ... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Number of categories: 7 Node features {'feat': tensor([[0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], ..., [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.]]), 'label': tensor([3, 4, 4, ..., 3, 3, 3]), 'test_mask': tensor([False, False, False, ..., True, True, True]), 'train_mask': tensor([ True, True, True, ..., False, False, False]), 'val_mask': tensor([False, False, False, ..., False, False, False])} Edge features {} In epoch 0, loss: 1.946, val acc: 0.142 (best 0.142), test acc: 0.134 (best 0.134) In epoch 5, loss: 1.899, val acc: 0.392 (best 0.440), test acc: 0.437 (best 0.448) In epoch 10, loss: 1.820, val acc: 0.628 (best 0.628), test acc: 0.631 (best 0.631) In epoch 15, loss: 1.719, val acc: 0.666 (best 0.666), test acc: 0.660 (best 0.660) In epoch 20, loss: 1.592, val acc: 0.638 (best 0.666), test acc: 0.638 (best 0.660) In epoch 25, loss: 1.446, val acc: 0.634 (best 0.666), test acc: 0.653 (best 0.660) In epoch 30, loss: 1.287, val acc: 0.656 (best 0.666), test acc: 0.676 (best 0.660) In epoch 35, loss: 1.123, val acc: 0.674 (best 0.674), test acc: 0.698 (best 0.698) In epoch 40, loss: 0.963, val acc: 0.702 (best 0.702), test acc: 0.722 (best 0.722) In epoch 45, loss: 0.811, val acc: 0.720 (best 0.720), test acc: 0.746 (best 0.746) In epoch 50, loss: 0.674, val acc: 0.736 (best 0.736), test acc: 0.758 (best 0.758) In epoch 55, loss: 0.554, val acc: 0.752 (best 0.752), test acc: 0.762 (best 0.761) In epoch 60, loss: 0.452, val acc: 0.758 (best 0.758), test acc: 0.770 (best 0.768) In epoch 65, loss: 0.368, val acc: 0.770 (best 0.770), test acc: 0.772 (best 0.772) In epoch 70, loss: 0.300, val acc: 0.768 (best 0.770), test acc: 0.776 (best 0.772) In epoch 75, loss: 0.246, val acc: 0.768 (best 0.770), test acc: 0.776 (best 0.772) In epoch 80, loss: 0.203, val acc: 0.762 (best 0.770), test acc: 0.777 (best 0.772) In epoch 85, loss: 0.168, val acc: 0.766 (best 0.770), test acc: 0.773 (best 0.772) In epoch 90, loss: 0.141, val acc: 0.768 (best 0.770), test acc: 0.773 (best 0.772) In epoch 95, loss: 0.120, val acc: 0.770 (best 0.770), test acc: 0.772 (best 0.772) Running tutorial ./blitz/6_load_data.py ... ./blitz/6_load_data.py:107: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) nodes_data["Club"].astype("category").cat.codes.to_numpy() Graph(num_nodes=34, num_edges=156, ndata_schemes={'feat': Scheme(shape=(), dtype=torch.int64), 'label': Scheme(shape=(), dtype=torch.int8), 'train_mask': Scheme(shape=(), dtype=torch.bool), 'val_mask': Scheme(shape=(), dtype=torch.bool), 'test_mask': Scheme(shape=(), dtype=torch.bool)} edata_schemes={'weight': Scheme(shape=(), dtype=torch.float64)}) Graph(num_nodes=15, num_edges=45, ndata_schemes={} edata_schemes={}) tensor(0) Running tutorial ./blitz/2_dglgraph.py ... (tensor([0, 0, 0, 0, 0]), tensor([1, 2, 3, 4, 5])) tensor([[ 1.0670, 0.8896, -0.5756, 1.8310], [-0.0483, 0.8558, 0.5496, -1.7268], [-0.6637, 0.4739, -0.5692, -0.6911], [ 0.8374, -1.1632, -1.1452, -0.4767], [ 0.1608, 1.1619, -1.2154, -1.2413]]) 6 5 5 0 tensor([0, 1, 3]) tensor([0, 2]) tensor([0, 1, 2, 4]) tensor([0, 1, 3]) tensor([[-0.8327, -0.7593, 0.1712], [-0.4729, 0.1431, 0.3168], [-2.7506, 0.5124, 0.9708]]) tensor([[ 1.0670, 0.8896, -0.5756, 1.8310], [-0.6637, 0.4739, -0.5692, -0.6911]]) tensor([[-0.8327, -0.7593, 0.1712], [-0.4729, 0.1431, 0.3168], [-1.2611, 0.7281, -0.6832], [-0.7497, 0.6030, -0.9418]]) tensor([[ 1.0670, 0.8896, -0.5756, 1.8310], [-0.0483, 0.8558, 0.5496, -1.7268], [ 0.8374, -1.1632, -1.1452, -0.4767]]) (tensor([0, 0, 0, 0, 0, 1, 2, 3, 4, 5]), tensor([1, 2, 3, 4, 5, 0, 0, 0, 0, 0])) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=3, num_edges=2, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=4, num_edges=3, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Running tutorial ./large/L1_large_node_classification.py ... PASSED [ 96%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.4. /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' Graph(num_nodes=169343, num_edges=2332486, ndata_schemes={'year': Scheme(shape=(1,), dtype=torch.int64), 'feat': Scheme(shape=(128,), dtype=torch.float32), 'label': Scheme(shape=(), dtype=torch.int64)} edata_schemes={}) tensor([[ 4], [ 5], [28], ..., [10], [ 4], [ 1]]) Number of classes: 40 [tensor([165842, 133340, 17385, ..., 75669, 109912, 42803]), tensor([165842, 133340, 17385, ..., 57435, 165567, 135419]), [Block(num_src_nodes=13095, num_dst_nodes=4190, num_edges=15279), Block(num_src_nodes=4190, num_dst_nodes=1024, num_edges=3374)]] To compute 1024 nodes' outputs, we need 13095 nodes' input features tensor([165842, 133340, 17385, ..., 75669, 109912, 42803]) tensor([165842, 133340, 17385, ..., 67279, 36155, 57138]) True 0%| | 0/89 [00:00= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:23 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:23: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4530@4/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/go/test_model.py::test_gcn[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gcn.py:59: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gat[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gat.py:72: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gin[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gin.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sage[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sage.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sgc[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sgc.py:42: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html --- generated xml file: /root/jenkins/workspace/dgl_PR-4530@4/pytest_go.xml ---- ============================ slowest 100 durations ============================= 13.92s call tests/go/test_pipeline.py::test_node_cora 8.23s call tests/go/test_pipeline.py::test_nodepred_data[reddit] 8.16s call tests/go/test_pipeline.py::test_nodepred_ns_data[csv] 8.04s call tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 8.01s call tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 7.99s call tests/go/test_pipeline.py::test_nodepred_data[csv] 7.93s call tests/go/test_pipeline.py::test_nodepred_data[cora] 7.92s call tests/go/test_pipeline.py::test_nodepred_model[gat] 7.92s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] 7.88s call tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] 7.84s call tests/go/test_pipeline.py::test_graphpred[gin-csv] 7.78s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] 7.77s call tests/go/test_pipeline.py::test_nodepred_ns_data[cora] 7.76s call tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] 7.75s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 7.70s call tests/go/test_pipeline.py::test_nodepred_model[sage] 7.65s call tests/go/test_pipeline.py::test_nodepred_model[gcn] 7.65s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] 7.65s call tests/go/test_pipeline.py::test_nodepred_data[pubmed] 7.64s call tests/go/test_pipeline.py::test_nodepred_model[sgc] 7.57s call tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] 7.52s call tests/go/test_pipeline.py::test_nodepred_model[gin] 7.51s call tests/go/test_pipeline.py::test_nodepred_data[citeseer] 7.32s call tests/go/test_pipeline.py::test_graphpred[pna-csv] 7.31s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] 7.04s call tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 6.81s call tests/go/test_pipeline.py::test_nodepred_ns_model[gat] 6.68s call tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] 6.57s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 6.55s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 6.50s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 5.65s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 5.48s call tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 5.45s call tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 5.37s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] 5.33s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] 5.32s call tests/go/test_pipeline.py::test_linkpred_node_model[gin] 4.91s call tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 4.45s call tests/go/test_pipeline.py::test_linkpred_data[csv] 4.42s call tests/go/test_pipeline.py::test_linkpred_data[citeseer] 4.39s call tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 4.34s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] 4.33s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] 4.33s call tests/go/test_pipeline.py::test_linkpred_data[pubmed] 4.28s call tests/go/test_pipeline.py::test_linkpred_data[reddit] 4.27s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] 4.27s call tests/go/test_pipeline.py::test_linkpred_data[cora] 4.27s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] 4.26s call tests/go/test_pipeline.py::test_linkpred_node_model[gat] 4.24s call tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] 4.23s call tests/go/test_pipeline.py::test_linkpred_node_model[sage] 2.04s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 1.96s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 1.95s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 1.89s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 1.89s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 1.85s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 1.83s call tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 1.81s call tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 1.77s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 1.77s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 1.68s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 1.68s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 1.65s call tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 1.63s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 1.55s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 1.54s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 0.16s call tests/go/test_model.py::test_ogbg_gin[True] 0.07s call tests/go/test_model.py::test_gin[g0] 0.06s call tests/go/test_model.py::test_gat[g0] 0.04s call tests/go/test_model.py::test_ogbg_gin[False] 0.04s call tests/go/test_model.py::test_pna 0.03s call tests/go/test_model.py::test_gcn[g0] 0.03s call tests/go/test_model.py::test_sgc[g0] 0.02s call tests/go/test_model.py::test_gat_block[g0] 0.02s call tests/go/test_model.py::test_sage_block[g0] 0.01s call tests/go/test_model.py::test_sage[g0] 0.01s call tests/go/test_model.py::test_gcn_block[g0] (21 durations < 0.005s hidden. Use -vv to show these durations.) ================= 81 passed, 23 warnings in 367.57s (0:06:07) ================== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 694d0cce714efcfa353e2b8911ad21d5aafce5490ac20cc4d0b5d66a7a3fba42 $ docker rm -f 694d0cce714efcfa353e2b8911ad21d5aafce5490ac20cc4d0b5d66a7a3fba42 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } 22%|██▏ | 499/2278 [00:17<01:04, 27.80it/s, loss=0.654]Converges at iteration 9 Epoch 0 Validation Accuracy 0.07668042551763482 Test Accuracy 0.059070427751373375 /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' Link Prediction AUC: 0.51241 Running tutorial ./large/L4_message_passing.py ... WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.4. /root/jenkins/workspace/dgl_PR-4530@3/python/dgl/dataloading/dataloader.py:863: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' {'year': tensor([[2017], [2013], [2017], ..., [2017], [2017], [2018]]), 'feat': tensor([[-0.1301, 0.0158, -0.1768, ..., 0.0302, -0.1047, -0.0128], [ 0.3180, 0.0375, -0.5321, ..., -0.1787, -0.1621, -0.4350], [-0.0687, 0.0881, 0.0435, ..., -0.0093, -0.0680, -0.2095], ..., [-0.0208, -0.0059, -0.1564, ..., 0.1068, -0.1678, -0.1605], [-0.0006, 0.1612, -0.1569, ..., 0.0167, 0.0381, -0.0487], [-0.0488, -0.0756, -0.0567, ..., 0.0318, -0.1418, -0.2094]]), 'label': tensor([24, 20, 28, ..., 16, 16, 16]), '_ID': tensor([142018, 127797, 82947, ..., 76022, 48842, 155409])} {'year': tensor([[2017], [2013], [2017], ..., [2015], [2019], [2018]]), 'feat': tensor([[-0.1301, 0.0158, -0.1768, ..., 0.0302, -0.1047, -0.0128], [ 0.3180, 0.0375, -0.5321, ..., -0.1787, -0.1621, -0.4350], [-0.0687, 0.0881, 0.0435, ..., -0.0093, -0.0680, -0.2095], ..., [-0.1250, -0.2042, -0.4497, ..., 0.0946, -0.5103, -0.0356], [-0.0550, 0.0457, -0.0883, ..., 0.1967, 0.0593, -0.1374], [-0.1236, 0.0239, -0.2300, ..., -0.1385, 0.0645, -0.1105]]), 'label': tensor([24, 20, 28, ..., 33, 16, 16]), '_ID': tensor([142018, 127797, 82947, ..., 14748, 169224, 115845])} 13016 4115 True 0%| | 0/89 [00:00